WorldWideScience

Sample records for chernoff faces

  1. Automatic welding quality classification for the spot welding based on the Hopfield associative memory neural network and Chernoff face description of the electrode displacement signal features

    Science.gov (United States)

    Zhang, Hongjie; Hou, Yanyan; Zhao, Jian; Wang, Lijing; Xi, Tao; Li, Yafeng

    2017-02-01

    To develop an automatic welding quality classification method for the spot welding based on the Chernoff face image created by the electrode displacement signal features, an effective pattern feature extraction method was proposed by which the Chernoff face images were converted to binary ones, and each binary image could be characterized by a binary matrix. According to expression categories on the Chernoff face images, welding quality was classified into five levels and each level just corresponded to a kind of expression. The Hopfield associative memory neural network was used to build a welding quality classifier in which the pattern feature matrices of some weld samples with different welding quality levels were remembered as the stable states. When the pattern feature matrix of a test weld is input into the classifier, it can be converged to the most similar stable state through associative memory, thus, welding quality corresponding to this finally locked stable state can represent the welding quality of the test weld. The classification performance test results show that the proposed method significantly improves the applicability and efficiency of the Chernoff faces technique for spot welding quality evaluation and it is feasible, effective and reliable.

  2. Chernoff's density is log-concave.

    Science.gov (United States)

    Balabdaoui, Fadoua; Wellner, Jon A

    2014-02-01

    We show that the density of Z = argmax{W (t) - t(2)}, sometimes known as Chernoff's density, is log-concave. We conjecture that Chernoff's density is strongly log-concave or "super-Gaussian", and provide evidence in support of the conjecture.

  3. Hybrid chernoff tau-leap

    KAUST Repository

    Moraes, Alvaro

    2014-01-01

    Markovian pure jump processes model a wide range of phenomena, including chemical reactions at the molecular level, dynamics of wireless communication networks, and the spread of epidemic diseases in small populations. There exist algorithms such as Gillespie\\'s stochastic simulation algorithm (SSA) and Anderson\\'s modified next reaction method (MNRM) that simulate a single path with the exact distribution of the process, but this can be time consuming when many reactions take place during a short time interval. Gillespie\\'s approximated tau-leap method, on the other hand, can be used to reduce computational time, but it may lead to nonphysical values due to a positive one-step exit probability, and it also introduces a time discretization error. Here, we present a novel hybrid algorithm for simulating individual paths which adaptively switches between the SSA and the tau-leap method. The switching strategy is based on a comparison of the expected interarrival time of the SSA and an adaptive time step derived from a Chernoff-type bound for the one-step exit probability. Because this bound is nonasymptotic, we do not need to make any distributional approximation for the tau-leap increments. This hybrid method allows us (i) to control the global exit probability of any simulated path and (ii) to obtain accurate and computable estimates of the expected value of any smooth observable of the process with minimal computational work. We present numerical examples that illustrate the performance of the proposed method. © 2014 Society for Industrial and Applied Mathematics.

  4. Multilevel hybrid Chernoff tau-leap

    KAUST Repository

    Moraes, Alvaro

    2015-04-08

    In this work, we extend the hybrid Chernoff tau-leap method to the multilevel Monte Carlo (MLMC) setting. Inspired by the work of Anderson and Higham on the tau-leap MLMC method with uniform time steps, we develop a novel algorithm that is able to couple two hybrid Chernoff tau-leap paths at different levels. Using dual-weighted residual expansion techniques, we also develop a new way to estimate the variance of the difference of two consecutive levels and the bias. This is crucial because the computational work required to stabilize the coefficient of variation of the sample estimators of both quantities is often unaffordable for the deepest levels of the MLMC hierarchy. Our method bounds the global computational error to be below a prescribed tolerance, TOL, within a given confidence level. This is achieved with nearly optimal computational work. Indeed, the computational complexity of our method is of order O(TOL−2), the same as with an exact method, but with a smaller constant. Our numerical examples show substantial gains with respect to the previous single-level approach and the Stochastic Simulation Algorithm.

  5. Amplification, Redundancy, and Quantum Chernoff Information

    Science.gov (United States)

    Zwolak, Michael; Riedel, C. Jess; Zurek, Wojciech H.

    2014-04-01

    Amplification was regarded, since the early days of quantum theory, as a mysterious ingredient that endows quantum microstates with macroscopic consequences, key to the "collapse of the wave packet," and a way to avoid embarrassing problems exemplified by Schrödinger's cat. Such a bridge between the quantum microworld and the classical world of our experience was postulated ad hoc in the Copenhagen interpretation. Quantum Darwinism views amplification as replication, in many copies, of the information about quantum states. We show that such amplification is a natural consequence of a broad class of models of decoherence, including the photon environment we use to obtain most of our information. This leads to objective reality via the presence of robust and widely accessible records of selected quantum states. The resulting redundancy (the number of copies deposited in the environment) follows from the quantum Chernoff information that quantifies the information transmitted by a typical elementary subsystem of the environment.

  6. Probing light polarization with the quantum Chernoff bound

    CERN Document Server

    Ghiu, Iulia; Marian, Paulina; Marian, Tudor A

    2010-01-01

    We recall the framework of a consistent quantum description of polarization of light. Accordingly, the degree of polarization of a two-mode state $\\hat \\rho$ of the quantum radiation field can be defined as a distance of a related state ${\\hat \\rho}_b$ to the convex set of all SU(2) invariant two-mode states. We explore a distance-type polarization measure in terms of the quantum Chernoff bound and derive its explicit expression. A comparison between the Chernoff and Bures degrees of polarization leads to interesting conclusions for some particular states chosen as illustrative examples.

  7. Chernoff-Hoeffding Bounds for Markov Chains: Generalized and Simplified

    CERN Document Server

    Chung, Kai-Min; Liu, Zhenming; Mitzenmacher, Michael

    2012-01-01

    We prove the first Chernoff-Hoeffding bounds for general nonreversible finite-state Markov chains based on the standard L_1 (variation distance) mixing-time of the chain. Specifically, consider an ergodic Markov chain M and a weight function f: [n] -> [0,1] on the state space [n] of M with mean mu = E_{v = delta mu t ], is at most exp(-Omega(delta^2 mu t / T)) for 0 1. In fact, the bounds hold even if the weight functions f_i's for i in [t] are distinct, provided that all of them have the same mean mu. We also obtain a simplified proof for the Chernoff-Hoeffding bounds based on the spectral expansion lambda of M, which is the square root of the second largest eigenvalue (in absolute value) of M tilde{M}, where tilde{M} is the time-reversal Markov chain of M. We show that the probability Pr [ |X - mu t| >= delta mu t ] is at most exp(-Omega(delta^2 (1-lambda) mu t)) for 0 1. Both of our results extend to continuous-time Markov chains, and to the case where the walk starts from an arbitrary distribution x, at...

  8. Amplification of Information by Photons and the Quantum Chernoff Bound

    Science.gov (United States)

    Zwolak, Michael; Riedel, C. Jess; Zurek, Wojciech H.

    2014-03-01

    Amplification was regarded, since the early days of quantum theory, as a mysterious ingredient that endows quantum microstates with macroscopic consequences, key to the ``collapse of the wavepacket,'' and a way to avoid embarrassing problems exemplified by Schrödinger's cat. This bridge between the quantum microworld and the classical world of our experience was postulated ad hoc in the Copenhagen Interpretation. Quantum Darwinism views amplification as replication, in many copies, of information about quantum states. We show that such amplification is a natural consequence of a broad class of models of decoherence, including the photon environment we use to obtain most of our information. The resultant amplification is huge, proportional to # ξQCB . Here, #  is the environment size and ξQCB is the ``typical'' Quantum Chernoff Information, which quantifies the efficiency of the amplification. The information communicated though the environment is imprinted in the states of individual environment subsystems, e.g., in single photons, which document the transfer of information into the environment and result in the emergence of the classical world. See, http://mike.zwolak.org

  9. The Chernoff-Kavlock assay: its validation and application in rats.

    Science.gov (United States)

    Wickramaratne, G A

    1987-01-01

    As the rat is the preferred species for teratogenicity studies in our laboratories, the Chernoff-Kavlock assay was modified and validated for use in this species. The Alpk:AP (Wistar-derived) strain, which is also used routinely for toxicology studies, was used, under standard SPF conditions. Twenty-six chemicals have been assayed to demonstrate the utility of the system as a predictor of rat teratogens and to develop a set of rules for interpretation of the results. Routes of chemical administration were largely gavage, with some dermal, subcutaneous, inhalation, and intraperitoneal applications. The use of the assay in five modes to assist the toxicological evaluation or understanding of chemicals is displayed. These modes are 1) as a pre-screen, 2) to compare analogues/homologues, 3) to provide a rapid hazard estimate, 4) to generate a dose-response, and 5) to test a hypothesis.

  10. Face Forward

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Last November, surgeons in France successfully performed the world's first face transplant surgery. Ten days later, Chen Huanran in Beijing began soliciting patients who were ready to accept a face transplant, searching for China's first such patient through an advertisement on his website and other channels. Chen, chief orthopedic surgeon at the Plastic Surgery Hospital under the Chinese Academy of Medical Sciences, has conducted more than 300 transsexual operations and was considered one of the top com...

  11. Reading faces and Facing words

    DEFF Research Database (Denmark)

    Robotham, Julia Emma; Lindegaard, Martin Weis; Delfi, Tzvetelina Shentova

    performed within normal range on at least one test of visual categorisation, strongly suggesting that their abnormal performance with words and faces does not represent a generalised visuo-perceptual deficit. Our results suggest that posterior areas in both hemispheres may be critical for both reading...

  12. Quantified Faces

    DEFF Research Database (Denmark)

    Sørensen, Mette-Marie Zacher

    2016-01-01

    Abstract: The article presents three contemporary art projects that, in various ways, thematise questions regarding numerical representation of the human face in relation to the identification of faces, for example through the use of biometric video analysis software, or DNA technology. The Dutch...... and critically examine bias in surveillance technologies, as well as scientific investigations, regarding the stereotyping mode of the human gaze. The American artist Heather Dewey-Hagborg creates three-dimensional portraits of persons she has “identified” from their garbage. Her project from 2013 entitled....... The three works are analysed with perspectives to historical physiognomy and Francis Galton's composite portraits from the 1800s. It is argued that, rather than being a statistical compression like the historical composites, contemporary statistical visual portraits (composites) are irreversible...

  13. Chernoff's distribution and parabolic partial differential equations

    NARCIS (Netherlands)

    Groeneboom, P.; Lalley, S.P.; Temme, N.M.

    2013-01-01

    We give an alternative route to the derivation of the distribution of the maximum and the location of the maximum of one-sided and two-sided Brownian motion with a negative parabolic drift, using the Feynman-Kac formula with stopping times. The derivation also uses an interesting relations between i

  14. FACE RECOGNITION FROM FRONT-VIEW FACE

    Institute of Scientific and Technical Information of China (English)

    WuLifang; ShenLansun

    2003-01-01

    This letter presents a face normalization algorithm based on 2-D face model to rec-ognize faces with variant postures from front-view face.A 2-D face mesh model can be extracted from faces with rotation to left or right and the corresponding front-view mesh model can be estimated according to facial symmetry.Then based on the relationship between the two mesh models,the nrmalized front-view face is formed by gray level mapping.Finally,the face recognition will be finished based on Principal Component Analysis(PCA).Experiments show that better face recognition performance is achieved in this way.

  15. FACE RECOGNITION FROM FRONT-VIEW FACE

    Institute of Scientific and Technical Information of China (English)

    Wu Lifang; Shen Lansun

    2003-01-01

    This letter presents a face normalization algorithm based on 2-D face model to recognize faces with variant postures from front-view face. A 2-D face mesh model can be extracted from faces with rotation to left or right and the corresponding front-view mesh model can be estimated according to the facial symmetry. Then based on the inner relationship between the two mesh models, the normalized front-view face is formed by gray level mapping. Finally, the face recognition will be finished based on Principal Component Analysis (PCA). Experiments show that better face recognition performance is achieved in this way.

  16. Famous face recognition, face matching, and extraversion.

    Science.gov (United States)

    Lander, Karen; Poyarekar, Siddhi

    2015-01-01

    It has been previously established that extraverts who are skilled at interpersonal interaction perform significantly better than introverts on a face-specific recognition memory task. In our experiment we further investigate the relationship between extraversion and face recognition, focusing on famous face recognition and face matching. Results indicate that more extraverted individuals perform significantly better on an upright famous face recognition task and show significantly larger face inversion effects. However, our results did not find an effect of extraversion on face matching or inverted famous face recognition.

  17. European cinema: face to face with Hollywood

    NARCIS (Netherlands)

    T. Elsaesser

    2005-01-01

    In the face of renewed competition from Hollywood since the early 1980s and the challenges posed to Europe's national cinemas by the fall of the Wall in 1989, independent filmmaking in Europe has begun to re-invent itself. European Cinema: Face to Face with Hollywood re-assesses the different debate

  18. Mapping Teacher-Faces

    Science.gov (United States)

    Thompson, Greg; Cook, Ian

    2013-01-01

    This paper uses Deleuze and Guattari's concept of faciality to analyse the teacher's face. According to Deleuze and Guattari, the teacher-face is a special type of face because it is an "overcoded" face produced in specific landscapes. This paper suggests four limit-faces for teacher faciality that actualise different mixes of significance and…

  19. About (above) a face - a face

    OpenAIRE

    2009-01-01

    This text intents to unfold some considerations regardind the perception of the image of the Lóri’s face, from the book Uma aprendizagem ou o livro dos prazeres, published by Clarice Lispector in 1969. For that, will be studied the politicians devices who involve the apprehension of the face as a qualifying of the subject and, at the same time, its relation with the lenguage.

  20. About (above a face - a face

    Directory of Open Access Journals (Sweden)

    Diego Cervelin

    2009-07-01

    Full Text Available This text intents to unfold some considerations regardind the perception of the image of the Lóri’s face, from the book Uma aprendizagem ou o livro dos prazeres, published by Clarice Lispector in 1969. For that, will be studied the politicians devices who involve the apprehension of the face as a qualifying of the subject and, at the same time, its relation with the lenguage.

  1. Oracle ADF Faces cookbook

    CERN Document Server

    Gawish, Amr

    2014-01-01

    This is a cookbook that covers more than 80 different recipes to teach you about different aspects of Oracle ADF Faces. It follows a practical approach and covers how to build your components for reuse in different applications. This book will also help you in tuning the performance of your ADF Faces application. If you are an ADF developer who wants to harness the power of Oracle ADF Faces to create exceptional user interfaces and reactive applications, this book will provide you with the recipes needed to do just that. You will not need to be familiar with Oracle ADF Faces, but you should be

  2. Generalization of affective learning about faces to perceptually similar faces.

    Science.gov (United States)

    Verosky, Sara C; Todorov, Alexander

    2010-06-01

    Different individuals have different (and different-looking) significant others, friends, and foes. The objective of this study was to investigate whether these social face environments can shape individual face preferences. First, participants learned to associate faces with positive, neutral, or negative behaviors. Then, they evaluated morphs combining novel faces with the learned faces. The morphs (65% and 80% novel faces) were within the categorical boundary of the novel faces: They were perceived as those faces in a preliminary study. Moreover, a second preliminary study showed that following the learning, the morphs' categorization as similar to the learned faces was indistinguishable from the categorization of actual novel faces. Nevertheless, in the main experiment, participants evaluated morphs of "positive" faces more positively than morphs of "negative" faces. This learning generalization effect increased as a function of the similarity of the novel faces to the learned faces. The findings suggest that general learning mechanisms based on similarity can account for idiosyncratic face preferences.

  3. Social judgments from faces.

    Science.gov (United States)

    Todorov, Alexander; Mende-Siedlecki, Peter; Dotsch, Ron

    2013-06-01

    People make rapid and consequential social judgments from minimal (non-emotional) facial cues. There has been rapid progress in identifying the perceptual basis of these judgments using data-driven, computational models. In contrast, our understanding of the neural underpinnings of these judgments is rather limited. Meta-analyses of neuroimaging studies find a wide range of seemingly inconsistent responses in the amygdala that co-vary with social judgments from faces. Guided by computational models of social judgments, these responses can be accounted by positing that the amygdala (and posterior face selective regions) tracks face typicality. Atypical faces, whether positively or negatively evaluated, elicit stronger responses in the amygdala. We conclude with the promise of data-driven methods for modeling neural responses to social judgments from faces.

  4. Face Search at Scale.

    Science.gov (United States)

    Wang, Dayong; Otto, Charles; Jain, Anil K

    2016-06-20

    rsons of interest among the billions of shared photos on these websites. Despite significant progress in face recognition, searching a large collection of unconstrained face images remains a difficult problem. To address this challenge, we propose a face search system which combines a fast search procedure, coupled with a state-of-the-art commercial off the shelf (COTS) matcher, in a cascaded framework. Given a probe face, we first filter the large gallery of photos to find the top-k most similar faces using features learned by a convolutional neural network. The k retrieved candidates are re-ranked by combining similarities based on deep features and those output by the COTS matcher. We evaluate the proposed face search system on a gallery containing 80 million web-downloaded face images. Experimental results demonstrate that while the deep features perform worse than the COTS matcher on a mugshot dataset (93.7% vs. 98.6% TAR@FAR of 0.01%), fusing the deep features with the COTS matcher improves the overall performance (99.5% TAR@FAR of 0.01%). This shows that the learned deep features provide complementary information over representations used in state-of-the-art face matchers. On the unconstrained face image benchmarks, the performance of the learned deep features is competitive with reported accuracies. LFW database: 98.20% accuracy under the standard protocol and 88.03% TAR@FAR of 0.1% under the BLUFR protocol; IJB-A benchmark: 51.0% TAR@FAR of 0.1% (verification), rank 1 retrieval of 82.2% (closed-set search), 61.5% FNIR@FAR of 1% (open-set search). The proposed face search system offers an excellent trade-off between accuracy and scalability on galleries with millions of images. Additionally, in a face search experiment involving photos of the Tsarnaev brothers, convicted of the Boston Marathon bombing, the proposed cascade face search system could find the younger brother's (Dzhokhar Tsarnaev) photo at rank 1 in 1 second on a 5M gallery and at rank 8 in 7

  5. Handbook of Face Recognition

    CERN Document Server

    Li, Stan Z

    2011-01-01

    This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems

  6. Comparison of face Recognition Algorithms on Dummy Faces

    Directory of Open Access Journals (Sweden)

    Aruni Singh

    2012-09-01

    Full Text Available In the age of rising crime face recognition is enormously important in the contexts of computer vision, psychology, surveillance, fraud detection, pattern recognition, neural network, content based video processing, etc. Face is a non intrusive strong biometrics for identification and hence criminals always try to hide their facial organs by different artificial means such as plastic surgery, disguise and dummy. The availability of a comprehensive face database is crucial to test the performance of these face recognition algorithms. However, while existing publicly-available face databases contain face images with a wide variety of poses, illumination, gestures and face occlusions but there is no dummy face database is available in public domain. The contributions of this research paper are: i Preparation of dummy face database of 110 subjects ii Comparison of some texture based, feature based and holistic face recognition algorithms on that dummy face database, iii Critical analysis of these types of algorithms on dummy face database.

  7. Is Face Distinctiveness Gender Based?

    Science.gov (United States)

    Baudouin, Jean-Yves; Gallay, Mathieu

    2006-01-01

    Two experiments were carried out to study the role of gender category in evaluations of face distinctiveness. In Experiment 1, participants had to evaluate the distinctiveness and the femininity-masculinity of real or artificial composite faces. The composite faces were created by blending either faces of the same gender (sexed composite faces,…

  8. Facing Sound - Voicing Art

    DEFF Research Database (Denmark)

    Lønstrup, Ansa

    2013-01-01

    This article is based on examples of contemporary audiovisual art, with a special focus on the Tony Oursler exhibition Face to Face at Aarhus Art Museum ARoS in Denmark in March-July 2012. My investigation involves a combination of qualitative interviews with visitors, observations of the audienc......´s interactions with the exhibition and the artwork in the museum space and short analyses of individual works of art based on reception aesthetics and phenomenology and inspired by newer writings on sound, voice and listening....

  9. Pedagogical Characteristics of Online and Face-to-Face Classes

    Science.gov (United States)

    Wuensch, Karl; Aziz, Shahnaz; Ozan, Erol; Kishore, Masao; Tabrizi, M. H. Nassehzadeh

    2008-01-01

    Currently, many students have had experience with both face-to-face and online classes. We asked such students at 46 different universities in the United States to evaluate the pedagogical characteristics of their most recently completed face-to-face class and their most recently completed online class. The results show that students rate online…

  10. Bayesian Face Recognition and Perceptual Narrowing in Face-Space

    Science.gov (United States)

    Balas, Benjamin

    2012-01-01

    During the first year of life, infants' face recognition abilities are subject to "perceptual narrowing", the end result of which is that observers lose the ability to distinguish previously discriminable faces (e.g. other-race faces) from one another. Perceptual narrowing has been reported for faces of different species and different races, in…

  11. Real Time Face Quality Assessment for Face Log Generation

    DEFF Research Database (Denmark)

    Kamal, Nasrollahi; Moeslund, Thomas B.

    2009-01-01

    Summarizing a long surveillance video to just a few best quality face images of each subject, a face-log, is of great importance in surveillance systems. Face quality assessment is the back-bone for face log generation and improving the quality assessment makes the face logs more reliable. Develo....... Developing a real time face quality assessment system using the most important facial features and employing it for face logs generation are the concerns of this paper. Extensive tests using four databases are carried out to validate the usability of the system....

  12. Face recognition system and method using face pattern words and face pattern bytes

    Energy Technology Data Exchange (ETDEWEB)

    Zheng, Yufeng

    2014-12-23

    The present invention provides a novel system and method for identifying individuals and for face recognition utilizing facial features for face identification. The system and method of the invention comprise creating facial features or face patterns called face pattern words and face pattern bytes for face identification. The invention also provides for pattern recognitions for identification other than face recognition. The invention further provides a means for identifying individuals based on visible and/or thermal images of those individuals by utilizing computer software implemented by instructions on a computer or computer system and a computer readable medium containing instructions on a computer system for face recognition and identification.

  13. Bayesian Face Sketch Synthesis.

    Science.gov (United States)

    Wang, Nannan; Gao, Xinbo; Sun, Leiyu; Li, Jie

    2017-03-01

    Exemplar-based face sketch synthesis has been widely applied to both digital entertainment and law enforcement. In this paper, we propose a Bayesian framework for face sketch synthesis, which provides a systematic interpretation for understanding the common properties and intrinsic difference in different methods from the perspective of probabilistic graphical models. The proposed Bayesian framework consists of two parts: the neighbor selection model and the weight computation model. Within the proposed framework, we further propose a Bayesian face sketch synthesis method. The essential rationale behind the proposed Bayesian method is that we take the spatial neighboring constraint between adjacent image patches into consideration for both aforementioned models, while the state-of-the-art methods neglect the constraint either in the neighbor selection model or in the weight computation model. Extensive experiments on the Chinese University of Hong Kong face sketch database demonstrate that the proposed Bayesian method could achieve superior performance compared with the state-of-the-art methods in terms of both subjective perceptions and objective evaluations.

  14. A Face Farce?

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Some people proclaim the success of the facial transplant operation marks the advent of a new era, one in which changing face will be as normal as changing clothing. Teng Li, a doctor with the Plastic Surgery Hospital affiliated with the Chinese Academy of Medical Sciences, believes facial transplant surgery should be encouraged as a scientific exploration, though he cautioned that experiments on animals

  15. Two Faces of Japan.

    Science.gov (United States)

    Beasley, Conger, Jr.

    1992-01-01

    Discusses the inconsistency between Japanese exploitation of world natural resources and gestures to provide leadership in ecologically innovative technology. Explores Japanese culture, power structure, population trends, environmental ethics, industrialism, and international business practices as they relate to the philosophical face of…

  16. Faced with a dilemma

    DEFF Research Database (Denmark)

    Christensen, Anne Vinggaard; Christiansen, Anne Hjøllund; Petersson, Birgit

    2013-01-01

    's legal right to choose TOP and considerations about the foetus' right to live were suppressed. Midwives experienced a dilemma when faced with aborted foetuses that looked like newborns and when aborted foetuses showed signs of life after a termination. Furthermore, they were critical of how physicians...

  17. Multibiometrics for face recognition

    NARCIS (Netherlands)

    Veldhuis, Raymond; Deravi, Farzin; Tao, Qian

    2008-01-01

    Fusion is a popular practice to combine multiple sources of biometric information to achieve systems with greater performance and flexibility. In this paper various approaches to fusion within a multibiometrics context are considered and an application to the fusion of 2D and 3D face information is

  18. PrimeFaces blueprints

    CERN Document Server

    Jonna, Sudheer

    2014-01-01

    If you are a Java developer with experience of frontend UI development, and want to take the plunge to develop stunning UI applications with the most popular JSF framework, PrimeFaces, then this book is for you. For those with entrepreneurial aspirations, this book will provide valuable insights into how to utilize successful business models.

  19. Facing Up to Death

    Science.gov (United States)

    Ross, Elizabeth Kubler

    1972-01-01

    Doctor urges that Americans accept death as a part of life and suggests ways of helping dying patients and their families face reality calmly, with peace. Dying children and their siblings, as well as children's feelings about relatives' deaths, are also discussed. (PD)

  20. Age-Dependent Face Detection and Face Categorization Performance

    OpenAIRE

    Claus-Christian Carbon; Martina Grüter; Thomas Grüter

    2013-01-01

    Empirical studies on the development of face processing skills with age show inconsistent patterns concerning qualitative vs. quantitative changes over time or the age range for peak cognitive performance. In the present study, we tested the proficiency in face detection and face categorization with a large sample of participants (N = 312; age range: 2-88 yrs). As test objects, we used so-called Mooney faces, two-tone (black and white) images of faces lacking critical information of a local, ...

  1. Face aftereffects predict individual differences in face recognition ability.

    Science.gov (United States)

    Dennett, Hugh W; McKone, Elinor; Edwards, Mark; Susilo, Tirta

    2012-01-01

    Face aftereffects are widely studied on the assumption that they provide a useful tool for investigating face-space coding of identity. However, a long-standing issue concerns the extent to which face aftereffects originate in face-level processes as opposed to earlier stages of visual processing. For example, some recent studies failed to find atypical face aftereffects in individuals with clinically poor face recognition. We show that in individuals within the normal range of face recognition abilities, there is an association between face memory ability and a figural face aftereffect that is argued to reflect the steepness of broadband-opponent neural response functions in underlying face-space. We further show that this correlation arises from face-level processing, by reporting results of tests of nonface memory and nonface aftereffects. We conclude that face aftereffects can tap high-level face-space, and that face-space coding differs in quality between individuals and contributes to face recognition ability.

  2. Human faces are slower than chimpanzee faces.

    Directory of Open Access Journals (Sweden)

    Anne M Burrows

    Full Text Available BACKGROUND: While humans (like other primates communicate with facial expressions, the evolution of speech added a new function to the facial muscles (facial expression muscles. The evolution of speech required the development of a coordinated action between visual (movement of the lips and auditory signals in a rhythmic fashion to produce "visemes" (visual movements of the lips that correspond to specific sounds. Visemes depend upon facial muscles to regulate shape of the lips, which themselves act as speech articulators. This movement necessitates a more controlled, sustained muscle contraction than that produced during spontaneous facial expressions which occur rapidly and last only a short period of time. Recently, it was found that human tongue musculature contains a higher proportion of slow-twitch myosin fibers than in rhesus macaques, which is related to the slower, more controlled movements of the human tongue in the production of speech. Are there similar unique, evolutionary physiologic biases found in human facial musculature related to the evolution of speech? METHODOLOGY/PRINICIPAL FINDINGS: Using myosin immunohistochemistry, we tested the hypothesis that human facial musculature has a higher percentage of slow-twitch myosin fibers relative to chimpanzees (Pan troglodytes and rhesus macaques (Macaca mulatta. We sampled the orbicularis oris and zygomaticus major muscles from three cadavers of each species and compared proportions of fiber-types. Results confirmed our hypothesis: humans had the highest proportion of slow-twitch myosin fibers while chimpanzees had the highest proportion of fast-twitch fibers. CONCLUSIONS/SIGNIFICANCE: These findings demonstrate that the human face is slower than that of rhesus macaques and our closest living relative, the chimpanzee. They also support the assertion that human facial musculature and speech co-evolved. Further, these results suggest a unique set of evolutionary selective pressures on

  3. Auto Industry Faces Change

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    A number of indicators show that China's auto industry is facing a new round of large-scale restructuring. When the global auto industry was undergoing reorganization 10 years ago, China's auto industry was in its early stages, acting in a relatively closed market, and thus it missed out on that important event. However, the situation is different today. In the past decade, China's auto industry has grown at a rapid pace. While the world's major transnational companies are

  4. Automated Face Recognition System

    Science.gov (United States)

    1992-12-01

    atestfOl.feature-vectjJ -averageljJ); for(j=l; <num-coefsj++) for(i= 5 num-train-faces;i++) sdlQjI -(btrainhil.feaure..vecU1- veagU (btraintil.feature- vecU ... vecU ])* (atest(O1.feature-vecUJ - btrain[iI.feature- vecU ]) + temp; btrain(ii.distance = sqrt ( (double) temp); I**** Store the k-nearest neighbors rank

  5. Decoding of faces and face components in face-sensitive human visual cortex

    Directory of Open Access Journals (Sweden)

    David F Nichols

    2010-07-01

    Full Text Available A great challenge to the field of visual neuroscience is to understand how faces are encoded and represented within the human brain. Here we show evidence from functional magnetic resonance imaging (fMRI for spatially distributed processing of the whole face and its components in face-sensitive human visual cortex. We used multi-class linear pattern classifiers constructed with a leave-one-scan-out verification procedure to discriminate brain activation patterns elicited by whole faces, the internal features alone, and the external head outline alone. Furthermore, our results suggest that whole faces are represented disproportionately in the fusiform cortex (FFA whereas the building blocks of faces are represented disproportionately in occipitotemporal cortex (OFA. Faces and face components may therefore be organized with functional clustering within both the FFA and OFA, but with specialization for face components in the OFA and the whole face in the FFA.

  6. Face-space: A unifying concept in face recognition research.

    Science.gov (United States)

    Valentine, Tim; Lewis, Michael B; Hills, Peter J

    2016-10-01

    The concept of a multidimensional psychological space, in which faces can be represented according to their perceived properties, is fundamental to the modern theorist in face processing. Yet the idea was not clearly expressed until 1991. The background that led to the development of face-space is explained, and its continuing influence on theories of face processing is discussed. Research that has explored the properties of the face-space and sought to understand caricature, including facial adaptation paradigms, is reviewed. Face-space as a theoretical framework for understanding the effect of ethnicity and the development of face recognition is evaluated. Finally, two applications of face-space in the forensic setting are discussed. From initially being presented as a model to explain distinctiveness, inversion, and the effect of ethnicity, face-space has become a central pillar in many aspects of face processing. It is currently being developed to help us understand adaptation effects with faces. While being in principle a simple concept, face-space has shaped, and continues to shape, our understanding of face perception.

  7. Age-dependent face detection and face categorization performance.

    Science.gov (United States)

    Carbon, Claus-Christian; Grüter, Martina; Grüter, Thomas

    2013-01-01

    Empirical studies on the development of face processing skills with age show inconsistent patterns concerning qualitative vs. quantitative changes over time or the age range for peak cognitive performance. In the present study, we tested the proficiency in face detection and face categorization with a large sample of participants (N = 312; age range: 2-88 yrs). As test objects, we used so-called Mooney faces, two-tone (black and white) images of faces lacking critical information of a local, featural and relational nature, reflecting difficult real world face processing conditions. We found that performance in the assessment of gender and age from Mooney faces increases up to about age 15, and decreases from 65 years on. The implications of these findings are discussed in the light of classic and recent findings from face development literature.

  8. A comparative study of face processing using scrambled faces

    OpenAIRE

    Taubert, Jessica; Aagten-Murphy, David; Parr, Lisa A.

    2012-01-01

    It is a widespread assumption that all primate species process faces in the same way because the species are closely related and they engage in similar social interactions. However, this approach ignores potentially interesting and informative differences that may exist between species. This paper describes a comparative study of holistic face processing. Twelve subjects (six chimpanzees Pan troglodytes and six rhesus monkeys Macaca mulatta) were trained to discriminate whole faces (faces wit...

  9. Face-to-Face Interference in Typical and Atypical Development

    Science.gov (United States)

    Riby, Deborah M.; Doherty-Sneddon, Gwyneth; Whittle, Lisa

    2012-01-01

    Visual communication cues facilitate interpersonal communication. It is important that we look at faces to retrieve and subsequently process such cues. It is also important that we sometimes look away from faces as they increase cognitive load that may interfere with online processing. Indeed, when typically developing individuals hold face gaze…

  10. Challenges facing production grids

    Energy Technology Data Exchange (ETDEWEB)

    Pordes, Ruth; /Fermilab

    2007-06-01

    Today's global communities of users expect quality of service from distributed Grid systems equivalent to that their local data centers. This must be coupled to ubiquitous access to the ensemble of processing and storage resources across multiple Grid infrastructures. We are still facing significant challenges in meeting these expectations, especially in the underlying security, a sustainable and successful economic model, and smoothing the boundaries between administrative and technical domains. Using the Open Science Grid as an example, I examine the status and challenges of Grids operating in production today.

  11. A novel thermal face recognition approach using face pattern words

    Science.gov (United States)

    Zheng, Yufeng

    2010-04-01

    A reliable thermal face recognition system can enhance the national security applications such as prevention against terrorism, surveillance, monitoring and tracking, especially at nighttime. The system can be applied at airports, customs or high-alert facilities (e.g., nuclear power plant) for 24 hours a day. In this paper, we propose a novel face recognition approach utilizing thermal (long wave infrared) face images that can automatically identify a subject at both daytime and nighttime. With a properly acquired thermal image (as a query image) in monitoring zone, the following processes will be employed: normalization and denoising, face detection, face alignment, face masking, Gabor wavelet transform, face pattern words (FPWs) creation, face identification by similarity measure (Hamming distance). If eyeglasses are present on a subject's face, an eyeglasses mask will be automatically extracted from the querying face image, and then masked with all comparing FPWs (no more transforms). A high identification rate (97.44% with Top-1 match) has been achieved upon our preliminary face dataset (of 39 subjects) from the proposed approach regardless operating time and glasses-wearing condition.e

  12. FaceID: A face detection and recognition system

    Energy Technology Data Exchange (ETDEWEB)

    Shah, M.B.; Rao, N.S.V.; Olman, V.; Uberbacher, E.C.; Mann, R.C.

    1996-12-31

    A face detection system that automatically locates faces in gray-level images is described. Also described is a system which matches a given face image with faces in a database. Face detection in an Image is performed by template matching using templates derived from a selected set of normalized faces. Instead of using original gray level images, vertical gradient images were calculated and used to make the system more robust against variations in lighting conditions and skin color. Faces of different sizes are detected by processing the image at several scales. Further, a coarse-to-fine strategy is used to speed up the processing, and a combination of whole face and face component templates are used to ensure low false detection rates. The input to the face recognition system is a normalized vertical gradient image of a face, which is compared against a database using a set of pretrained feedforward neural networks with a winner-take-all fuser. The training is performed by using an adaptation of the backpropagation algorithm. This system has been developed and tested using images from the FERET database and a set of images obtained from Rowley, et al and Sung and Poggio.

  13. Enabling dynamics in face analysis

    NARCIS (Netherlands)

    Dibeklioğlu, H.

    2014-01-01

    Most of the approaches in automatic face analysis rely solely on static appearance. However, temporal analysis of expressions reveals interesting patterns. For a better understanding of the human face, this thesis focuses on temporal changes in the face, and dynamic patterns of expressions. In addit

  14. Forensic Face Recognition: A Survey

    NARCIS (Netherlands)

    Ali, Tauseef; Spreeuwers, Luuk; Veldhuis, Raymond; Quaglia, Adamo; Epifano, Calogera M.

    2012-01-01

    The improvements of automatic face recognition during the last 2 decades have disclosed new applications like border control and camera surveillance. A new application field is forensic face recognition. Traditionally, face recognition by human experts has been used in forensics, but now there is a

  15. Face Processing: Models For Recognition

    Science.gov (United States)

    Turk, Matthew A.; Pentland, Alexander P.

    1990-03-01

    The human ability to process faces is remarkable. We can identify perhaps thousands of faces learned throughout our lifetime and read facial expression to understand such subtle qualities as emotion. These skills are quite robust, despite sometimes large changes in the visual stimulus due to expression, aging, and distractions such as glasses or changes in hairstyle or facial hair. Computers which model and recognize faces will be useful in a variety of applications, including criminal identification, human-computer interface, and animation. We discuss models for representing faces and their applicability to the task of recognition, and present techniques for identifying faces and detecting eye blinks.

  16. Préface

    Directory of Open Access Journals (Sweden)

    Marguerite Mendell

    2008-12-01

    Full Text Available C’est avec grand plaisir que je contribue la préface de ce numéro d’Interventions économiques dédié à la pertinence de la pensée de Karl Polanyi au début du 21ème siècle. Je suis très reconnaissante aux éditeurs, Diane Gabrielle Tremblay, Jean-Marc Fontan et Jean Louis Laville d’avoir pris l’initiative de préparer ce numéro pour le 11ème colloque international de l’Institut Karl Polanyi, qui correspond aussi au 20ème anniversaire de l’Institut, établi à l’Université Concordia en 1988. Interve...

  17. Facing the Challenges

    DEFF Research Database (Denmark)

    He, Kai

    2014-01-01

    China's rise signifies a gradual transformation of the international system from unipolarity to a non-unipolar world. ,4s an organization of small and middle powers, ASEAN faces strategic uncertainties brought about by the power transition in the system. Deepening economic interdependence between...... ASEAN and China has amplified the economic cost for the ASEAN states to use traditional military means to deal with China s rise. Applying institutional balancing theory, this paper examines how ASEAN has adopted various institutional instruments, such as the ASEAN Regional Forum (ARF), the East Asia...... Summit (EAS), the Regional Comprehensive Economic Partnership (RCEP), and the ASEAN Community, to constrain and shape China's behaviour in the region in the post-Cold War era. It argues that due to globalization and economic interdependence, the power transition in the 21st century is different from...

  18. [Comparative studies of face recognition].

    Science.gov (United States)

    Kawai, Nobuyuki

    2012-07-01

    Every human being is proficient in face recognition. However, the reason for and the manner in which humans have attained such an ability remain unknown. These questions can be best answered-through comparative studies of face recognition in non-human animals. Studies in both primates and non-primates show that not only primates, but also non-primates possess the ability to extract information from their conspecifics and from human experimenters. Neural specialization for face recognition is shared with mammals in distant taxa, suggesting that face recognition evolved earlier than the emergence of mammals. A recent study indicated that a social insect, the golden paper wasp, can distinguish their conspecific faces, whereas a closely related species, which has a less complex social lifestyle with just one queen ruling a nest of underlings, did not show strong face recognition for their conspecifics. Social complexity and the need to differentiate between one another likely led humans to evolve their face recognition abilities.

  19. Comparing Face Detection and Recognition Techniques

    OpenAIRE

    Korra, Jyothi

    2016-01-01

    This paper implements and compares different techniques for face detection and recognition. One is find where the face is located in the images that is face detection and second is face recognition that is identifying the person. We study three techniques in this paper: Face detection using self organizing map (SOM), Face recognition by projection and nearest neighbor and Face recognition using SVM.

  20. The effect of familiarity on face adaptation

    OpenAIRE

    Laurence, Sarah

    2013-01-01

    Face adaptation techniques have been used extensively to investigate how faces are processed. It has even been suggested that face adaptation is functional in calibrating the visual system to the diet of faces to which an observer is exposed. Yet most adaptation studies to date have used unfamiliar faces: few have used faces with real world familiarity. Familiar faces have more abstractive representations than unfamiliar faces. The experiments in this thesis therefore examined face adaptation...

  1. Holistic crowding of Mooney faces.

    Science.gov (United States)

    Farzin, Faraz; Rivera, Susan M; Whitney, David

    2009-06-29

    An object or feature is generally more difficult to identify when other objects are presented nearby, an effect referred to as crowding. Here, we used Mooney faces to examine whether crowding can also occur within and between holistic face representations (C. M. Mooney, 1957). Mooney faces are ideal stimuli for this test because no cues exist to distinguish facial features in a Mooney face; to find any facial feature, such as an eye or a nose, one must first holistically perceive the image as a face. Through a series of six experiments we tested the effect of crowding on Mooney face recognition. Our results demonstrate crowding between and within Mooney faces and fulfill the diagnostic criteria for crowding, including eccentricity dependence and lack of crowding in the fovea, critical flanker spacing consistent with less than half the eccentricity of the target, and inner-outer flanker asymmetry. Further, our results show that recognition of an upright Mooney face is more strongly impaired by upright Mooney face flankers than inverted ones. Taken together, these results suggest crowding can occur selectively between high-level representations of faces and that crowding must occur at multiple levels in the visual system.

  2. Face-n-Food: Gender Differences in Tuning to Faces

    Science.gov (United States)

    Pavlova, Marina A.; Scheffler, Klaus; Sokolov, Alexander N.

    2015-01-01

    Faces represent valuable signals for social cognition and non-verbal communication. A wealth of research indicates that women tend to excel in recognition of facial expressions. However, it remains unclear whether females are better tuned to faces. We presented healthy adult females and males with a set of newly created food-plate images resembling faces (slightly bordering on the Giuseppe Arcimboldo style). In a spontaneous recognition task, participants were shown a set of images in a predetermined order from the least to most resembling a face. Females not only more readily recognized the images as a face (they reported resembling a face on images, on which males still did not), but gave on overall more face responses. The findings are discussed in the light of gender differences in deficient face perception. As most neuropsychiatric, neurodevelopmental and psychosomatic disorders characterized by social brain abnormalities are sex specific, the task may serve as a valuable tool for uncovering impairments in visual face processing. PMID:26154177

  3. Learning to Discriminate Face Views

    Directory of Open Access Journals (Sweden)

    Fang Fang

    2011-05-01

    Full Text Available Although visual feature leaning has been well studied, we still know little about the mechanisms of perceptual learning of complex object. Here, human perceptual learning in discrimination of in-depth orientation of face view was studied using psychophysics, EEG and fMRI. We trained subjects to discriminate face orientations around a face view (i.e. 30° over eight daily sessions, which resulted in a significant improvement in sensitivity to the face view orientation. This improved sensitivity was highly specific to the trained orientation and persisted up to six months. Different from perceptual learning of simple visual features, this orientation-specific learning effect could completely transfer across changes in face size, visual field and face identity. A complete transfer also occurred between two partial face images that were mutually exclusive but constituted a complete face. However, the transfer of the learning effect between upright and inverted faces and between a face and a paperclip object was very weak. Before and after training, we measured EEG and fMRI BOLD signals responding to both the trained and the untrained face views. Analyses of ERPs and induced gamma activity showed that face view discrimination training led to a larger reduction of N170 latency at the left occipital-temporal area and a concurrent larger decrease of induced gamma activity at the left frontal area with the trained face view, compared with the untrained ones. BOLD signal amplitude and MVPA analyses showed that, in face-selective cortical areas, training did not lead to a significant amplitude change, but induced a more reliable spatial pattern of neural activity in the left FFA. These results suggest that the visual system had learned how to compute face orientation from face configural information more accurately and that a large amount of plastic changes took place at a level of higher visual processing where size-, location-, and identity

  4. Many Faces of Migrations

    Directory of Open Access Journals (Sweden)

    Milica Antić Gaber

    2013-12-01

    We believe that in the present thematic issue we have succeeded in capturing an important part of the modern European research dynamic in the field of migration. In addition to well-known scholars in this field several young authors at the beginning their research careers have been shortlisted for the publication. We are glad of their success as it bodes a vibrancy of this research area in the future. At the same time, we were pleased to receive responses to the invitation from representatives of so many disciplines, and that the number of papers received significantly exceeded the maximum volume of the journal. Recognising and understanding of the many faces of migration are important steps towards the comprehensive knowledge needed to successfully meet the challenges of migration issues today and even more so in the future. It is therefore of utmost importance that researchers find ways of transferring their academic knowledge into practice – to all levels of education, the media, the wider public and, of course, the decision makers in local, national and international institutions. The call also applies to all authors in this issue of the journal.

  5. Facing the Crises

    Directory of Open Access Journals (Sweden)

    Moira Baker

    2014-12-01

    Full Text Available Timely, provocative, and theoretically sophisticated, the essays comprising In the Face of Crises: Anglophone Literature in the Postmodern World situate their work amid several critical global concerns: the devastation wreaked by global capitalism following the worldwide financial crash, the financial sector’s totalizing grip upon the world economy, the challenge to traditional definitions of “human nature” and identity posed by technologies of the body and of warfare, the quest of indigenous communities for healing from the continuing traumatic effects of colonization, and the increasing corporatization of the academy as an apparatus of the neo-liberal state – to specify only a few. Edited by Professors Ljubica Matek and Jasna Poljak Rehlicki, these essays deploy a broad range of contemporary theories, representing recent developments in cultural studies, the new economic criticism, postcolonial film studies, feminism and gender studies, and the new historicism. The eleven essays selected by Matek and Rehlicki offer convincing support for their claim that humanistic research delving into Anglophone literature, far from being a “non-profitable” pursuit in an increasingly technologized society, affords clarifying insights into contemporary “economic, cultural, and social processes in the globalizing and globalized culture of the West” (ix.

  6. Face au risque

    CERN Document Server

    Grosse, Christian; November, Valérie

    2007-01-01

    Ce volume collectif sur le risque inaugure la collection L'ÉQUINOXE. Ancré dans l'histoire pour mesurer les continuités et les ruptures, il illustre la manière dont les sciences humaines évaluent et mesurent les enjeux collectifs du risque sur les plans politiques, scientifiques, énergétiques, juridiques et éthiques. Puisse-t-il nourrir la réflexion sur la culture et la prévention du risque. Ses formes épidémiques, écologiques, sociales, terroristes et militaires nourrissent les peurs actuelles, structurent les projets sécuritaires et constituent - sans doute - les défis majeurs à notre modernité. Dans la foulée de la richesse scientifique d'Equinoxe, L'ÉQUINOXE hérite de son esprit en prenant à son tour le pari de contribuer - non sans risque - à enrichir en Suisse romande et ailleurs le champ éditorial des sciences humaines dont notre société a besoin pour forger ses repères. Après Face au risque suivra cet automne Du sens des Lumières. (MICHEL PORRET Professeur Ordinaire à la F...

  7. Face adaptation improves gender discrimination.

    Science.gov (United States)

    Yang, Hua; Shen, Jianhong; Chen, Juan; Fang, Fang

    2011-01-01

    Adaptation to a visual pattern can alter the sensitivities of neuronal populations encoding the pattern. However, the functional roles of adaptation, especially in high-level vision, are still equivocal. In the present study, we performed three experiments to investigate if face gender adaptation could affect gender discrimination. Experiments 1 and 2 revealed that adapting to a male/female face could selectively enhance discrimination for male/female faces. Experiment 3 showed that the discrimination enhancement induced by face adaptation could transfer across a substantial change in three-dimensional face viewpoint. These results provide further evidence suggesting that, similar to low-level vision, adaptation in high-level vision could calibrate the visual system to current inputs of complex shapes (i.e. face) and improve discrimination at the adapted characteristic.

  8. Holistic face training enhances face processing in developmental prosopagnosia.

    Science.gov (United States)

    DeGutis, Joseph; Cohan, Sarah; Nakayama, Ken

    2014-06-01

    Prosopagnosia has largely been regarded as an untreatable disorder. However, recent case studies using cognitive training have shown that it is possible to enhance face recognition abilities in individuals with developmental prosopagnosia. Our goal was to determine if this approach could be effective in a larger population of developmental prosopagnosics. We trained 24 developmental prosopagnosics using a 3-week online face-training program targeting holistic face processing. Twelve subjects with developmental prosopagnosia were assessed before and after training, and the other 12 were assessed before and after a waiting period, they then performed the training, and were then assessed again. The assessments included measures of front-view face discrimination, face discrimination with view-point changes, measures of holistic face processing, and a 5-day diary to quantify potential real-world improvements. Compared with the waiting period, developmental prosopagnosics showed moderate but significant overall training-related improvements on measures of front-view face discrimination. Those who reached the more difficult levels of training ('better' trainees) showed the strongest improvements in front-view face discrimination and showed significantly increased holistic face processing to the point of being similar to that of unimpaired control subjects. Despite challenges in characterizing developmental prosopagnosics' everyday face recognition and potential biases in self-report, results also showed modest but consistent self-reported diary improvements. In summary, we demonstrate that by using cognitive training that targets holistic processing, it is possible to enhance face perception across a group of developmental prosopagnosics and further suggest that those who improved the most on the training task received the greatest benefits.

  9. Winning Faces Vary By Ideology

    DEFF Research Database (Denmark)

    Laustsen, Lasse; Petersen, Michael Bang

    2016-01-01

    for others. Utilizing research on ideological stereotypes and the determinants of facial preferences, we focus on the relationship between the facial dominance of the source and the ideology of the receiver. Across five studies, we demonstrate that a dominant face is a winning face when the audience...... is conservative but backfires and decreases success when the audience is liberal. On the other hand, a non-dominant face constitutes a winning face among liberal audiences but backfires among conservatives. These effects seemingly stem from deep-seated psychological responses and shape both the election...

  10. Holistic processing predicts face recognition.

    Science.gov (United States)

    Richler, Jennifer J; Cheung, Olivia S; Gauthier, Isabel

    2011-04-01

    The concept of holistic processing is a cornerstone of face-recognition research. In the study reported here, we demonstrated that holistic processing predicts face-recognition abilities on the Cambridge Face Memory Test and on a perceptual face-identification task. Our findings validate a large body of work that relies on the assumption that holistic processing is related to face recognition. These findings also reconcile the study of face recognition with the perceptual-expertise work it inspired; such work links holistic processing of objects with people's ability to individuate them. Our results differ from those of a recent study showing no link between holistic processing and face recognition. This discrepancy can be attributed to the use in prior research of a popular but flawed measure of holistic processing. Our findings salvage the central role of holistic processing in face recognition and cast doubt on a subset of the face-perception literature that relies on a problematic measure of holistic processing.

  11. Study of Face Recognition Techniques

    Directory of Open Access Journals (Sweden)

    Sangeeta Kaushik

    2014-12-01

    Full Text Available A study of both face recognition and detection techniques is carried out using the algorithms like Principal Component Analysis (PCA, Kernel Principal Component Analysis (KPCA, Linear Discriminant Analysis (LDA and Line Edge Map (LEM. These algorithms show different rates of accuracy under different conditions. The automatic recognition of human faces presents a challenge to the pattern recognition community. Typically, human faces are different in shapes with minor similarity from person to person. Furthermore, lighting condition changes, facial expressions and pose variations further complicate the face recognition task as one of the difficult problems in pattern analysis.

  12. Teaching On-Line versus Face-to-Face.

    Science.gov (United States)

    Smith, Glenn Gordon; Ferguson, David; Caris, Mieke

    2002-01-01

    Investigates and describes the current instructor experience of teaching college courses over the Web versus in face-to-face formats in terms of teaching strategies, social issues, and media effects. Discusses communication styles, relationship between students and instructors, instructor workload, and discussion patterns, and proposes a model…

  13. Registration of 3D Face Scans with Average Face Models

    NARCIS (Netherlands)

    Salah, A.A.; Alyuz, N.; Akarun, L.

    2008-01-01

    The accuracy of a 3D face recognition system depends on a correct registration that aligns the facial surfaces and makes a comparison possible. The best results obtained so far use a costly one-to-all registration approach, which requires the registration of each facial surface to all faces in the g

  14. Effects of aging on face identification and holistic face processing.

    Science.gov (United States)

    Konar, Yaroslav; Bennett, Patrick J; Sekuler, Allison B

    2013-08-09

    Several studies have shown that face identification accuracy is lower in older than younger adults. This effect of aging might be due to age differences in holistic processing, which is thought to be an important component of human face processing. Currently, however, there is conflicting evidence as to whether holistic face processing is impaired in older adults. The current study therefore re-examined this issue by measuring response accuracy in a 1-of-4 face identification task and the composite face effect (CFE), a common index of holistic processing, in older adults. Consistent with previous reports, we found that face identification accuracy was lower in older adults than in younger adults tested in the same task. We also found a significant CFE in older adults that was similar in magnitude to the CFE measured in younger subjects with the same task. Finally, we found that there was a significant positive correlation between the CFE and face identification accuracy. This last result differs from the results obtained in a previous study that used the same tasks and which found no evidence of an association between the CFE and face identification accuracy in younger adults. Furthermore, the age difference was found with subtraction-, regression-, and ratio-based estimates of the CFE. The current findings are consistent with previous claims that older adults rely more heavily on holistic processing to identify objects in conditions of limited processing resources.

  15. Cyber- and Face-to-Face Bullying: Who Crosses Over?

    Science.gov (United States)

    Shin, Hwayeon Helene; Braithwaite, Valerie; Ahmed, Eliza

    2016-01-01

    A total of 3956 children aged 12-13 years who completed the Longitudinal Study of Australian Children (LSAC Wave 5) were studied about their experiences of traditional face-to-face bullying and cyberbullying in the last month. In terms of prevalence, sixty percent of the sample had been involved in traditional bullying as the victim and/or the…

  16. Forensic Face Recognition: A Survey

    NARCIS (Netherlands)

    Ali, Tauseef; Veldhuis, Raymond; Spreeuwers, Luuk

    2010-01-01

    Beside a few papers which focus on the forensic aspects of automatic face recognition, there is not much published about it in contrast to the literature on developing new techniques and methodologies for biometric face recognition. In this report, we review forensic facial identification which is t

  17. Side-View Face Recognition

    NARCIS (Netherlands)

    Santemiz, Pinar; Spreeuwers, Luuk J.; Veldhuis, Raymond N.J.; Biggelaar , van den Olivier

    2011-01-01

    As a widely used biometrics, face recognition has many advantages such as being non-intrusive, natural and passive. On the other hand, in real-life scenarios with uncontrolled environment, pose variation up to side-view positions makes face recognition a challenging work. In this paper we discuss th

  18. Modeling Social Perception of Faces

    NARCIS (Netherlands)

    Todorov, A.T.; Oosterhof, N.N.

    2011-01-01

    The face is our primary source of visual information for identifying people and reading their emotional and mental states. With the exception of prosopagnosics (who are unable to recognize faces) and those suffering from such disorders of social cognition as autism, people are extremely adept at the

  19. PrimeFaces beginner's guide

    CERN Document Server

    Reddy, K Siva Prasad

    2013-01-01

    A guide for beginner's with step-by-step instructions and an easy-to-follow approach.PrimeFaces Beginners Guide is a simple and effective guide for beginners, wanting to learn and implement PrimeFaces in their JSF-based applications. Some basic JSF and jQuery skills are required before you start working through the book.

  20. Age-invariant face recognition.

    Science.gov (United States)

    Park, Unsang; Tong, Yiying; Jain, Anil K

    2010-05-01

    One of the challenges in automatic face recognition is to achieve temporal invariance. In other words, the goal is to come up with a representation and matching scheme that is robust to changes due to facial aging. Facial aging is a complex process that affects both the 3D shape of the face and its texture (e.g., wrinkles). These shape and texture changes degrade the performance of automatic face recognition systems. However, facial aging has not received substantial attention compared to other facial variations due to pose, lighting, and expression. We propose a 3D aging modeling technique and show how it can be used to compensate for the age variations to improve the face recognition performance. The aging modeling technique adapts view-invariant 3D face models to the given 2D face aging database. The proposed approach is evaluated on three different databases (i.g., FG-NET, MORPH, and BROWNS) using FaceVACS, a state-of-the-art commercial face recognition engine.

  1. Aging changes in the face

    Science.gov (United States)

    ... gray or light blue eyes. Images Changes in face with age References Brodie SE, Francis JH. Aging and disorders of the eye. In: Fillit HM, Rockword K, Young J, eds. Brocklehurst's Textbook ... management of the aging face. In: Robinson JK, Hanke CW, Siegel DM, Fratila ...

  2. Parallel Processing in Face Perception

    Science.gov (United States)

    Martens, Ulla; Leuthold, Hartmut; Schweinberger, Stefan R.

    2010-01-01

    The authors examined face perception models with regard to the functional and temporal organization of facial identity and expression analysis. Participants performed a manual 2-choice go/no-go task to classify faces, where response hand depended on facial familiarity (famous vs. unfamiliar) and response execution depended on facial expression…

  3. Newborns' Mooney-Face Perception

    Science.gov (United States)

    Leo, Irene; Simion, Francesca

    2009-01-01

    The aim of this study is to investigate whether newborns detect a face on the basis of a Gestalt representation based on first-order relational information (i.e., the basic arrangement of face features) by using Mooney stimuli. The incomplete 2-tone Mooney stimuli were used because they preclude focusing both on the local features (i.e., the fine…

  4. Priming with threatening faces modulates the self-face advantage by enhancing the other-face processing rather than suppressing the self-face processing.

    Science.gov (United States)

    Guan, Lili; Qi, Mingming; Li, Haijiang; Hitchman, Glenn; Yang, Juan; Liu, Yijun

    2015-05-22

    Social emotional information influences self-processing in everyday activities, but few researchers have investigated this process. The current ERP study adopted a prime paradigm to investigate how socially threatening faces impact on the self-face processing advantage. After being primed with emotional faces (happy, angry or neutral), participants judged whether the target face (self, friend, and stranger) was familiar or unfamiliar. Results showed an interaction effect between the prime face and the target face at posterior P3, suggesting that after priming with happy and neutral faces, self-faces elicited larger P3 amplitudes than friend-faces and stranger-faces; however, after priming with angry faces, the P3 amplitudes were not significantly different between self-face and friend-face. Moreover, the P3 amplitudes of self-faces did not differ between priming with angry and neutral faces; however, the P3 amplitude of both friend-faces and stranger-faces showed enhanced responses after priming with angry faces compared to priming with neutral faces. We suggest that the self-face processing advantage (self vs. friend) could be weakened by priming with threatening faces, through enhancement of the other-faces processing rather than suppression of self-faces processing in angry vs. neutral face prime.

  5. Effective indexing for face recognition

    Science.gov (United States)

    Sochenkov, I.; Sochenkova, A.; Vokhmintsev, A.; Makovetskii, A.; Melnikov, A.

    2016-09-01

    Face recognition is one of the most important tasks in computer vision and pattern recognition. Face recognition is useful for security systems to provide safety. In some situations it is necessary to identify the person among many others. In this case this work presents new approach in data indexing, which provides fast retrieval in big image collections. Data indexing in this research consists of five steps. First, we detect the area containing face, second we align face, and then we detect areas containing eyes and eyebrows, nose, mouth. After that we find key points of each area using different descriptors and finally index these descriptors with help of quantization procedure. The experimental analysis of this method is performed. This paper shows that performing method has results at the level of state-of-the-art face recognition methods, but it is also gives results fast that is important for the systems that provide safety.

  6. Emotion-independent face recognition

    Science.gov (United States)

    De Silva, Liyanage C.; Esther, Kho G. P.

    2000-12-01

    Current face recognition techniques tend to work well when recognizing faces under small variations in lighting, facial expression and pose, but deteriorate under more extreme conditions. In this paper, a face recognition system to recognize faces of known individuals, despite variations in facial expression due to different emotions, is developed. The eigenface approach is used for feature extraction. Classification methods include Euclidean distance, back propagation neural network and generalized regression neural network. These methods yield 100% recognition accuracy when the training database is representative, containing one image representing the peak expression for each emotion of each person apart from the neutral expression. The feature vectors used for comparison in the Euclidean distance method and for training the neural network must be all the feature vectors of the training set. These results are obtained for a face database consisting of only four persons.

  7. Genetic specificity of face recognition.

    Science.gov (United States)

    Shakeshaft, Nicholas G; Plomin, Robert

    2015-10-13

    Specific cognitive abilities in diverse domains are typically found to be highly heritable and substantially correlated with general cognitive ability (g), both phenotypically and genetically. Recent twin studies have found the ability to memorize and recognize faces to be an exception, being similarly heritable but phenotypically substantially uncorrelated both with g and with general object recognition. However, the genetic relationships between face recognition and other abilities (the extent to which they share a common genetic etiology) cannot be determined from phenotypic associations. In this, to our knowledge, first study of the genetic associations between face recognition and other domains, 2,000 18- and 19-year-old United Kingdom twins completed tests assessing their face recognition, object recognition, and general cognitive abilities. Results confirmed the substantial heritability of face recognition (61%), and multivariate genetic analyses found that most of this genetic influence is unique and not shared with other cognitive abilities.

  8. Learning faces: similar comparator faces do not improve performance.

    Directory of Open Access Journals (Sweden)

    Scott P Jones

    Full Text Available Recent evidence indicates that comparison of two similar faces can aid subsequent discrimination between them. However, the fact that discrimination between two faces is facilitated by comparing them directly does not demonstrate that comparison produces a general improvement in the processing of faces. It remains an open question whether the opportunity to compare a "target" face to similar faces can facilitate the discrimination of the exposed target face from other nonexposed faces. In Experiment 1, selection of a target face from an array of novel foils was not facilitated by intermixed exposure to the target and comparators of the same sex. Experiment 2 also found no advantage for similar comparators (morphed towards the target over unmorphed same sex comparators, or over repeated target exposure alone. But all repeated exposure conditions produced better performance than a single brief presentation of the target. Experiment 3 again demonstrated that repeated exposure produced equivalent learning in same sex and different sex comparator conditions, and also showed that increasing the number of same sex or different sex comparators failed to improve identification. In all three experiments, exposure to a target alongside similar comparators failed to support selection of the target from novel test stimuli to a greater degree than exposure alongside dissimilar comparators or repeated target exposure alone. The current results suggest that the facilitatory effects of comparison during exposure may be limited to improving discrimination between exposed stimuli, and thus our results do not support the idea that providing the opportunity for comparison is a practical means for improving face identification.

  9. Modeling human dynamics of face-to-face interaction networks

    CERN Document Server

    Starnini, Michele; Pastor-Satorras, Romualdo

    2013-01-01

    Face-to-face interaction networks describe social interactions in human gatherings, and are the substrate for processes such as epidemic spreading and gossip propagation. The bursty nature of human behavior characterizes many aspects of empirical data, such as the distribution of conversation lengths, of conversations per person, or of inter-conversation times. Despite several recent attempts, a general theoretical understanding of the global picture emerging from data is still lacking. Here we present a simple model that reproduces quantitatively most of the relevant features of empirical face-to-face interaction networks. The model describes agents which perform a random walk in a two dimensional space and are characterized by an attractiveness whose effect is to slow down the motion of people around them. The proposed framework sheds light on the dynamics of human interactions and can improve the modeling of dynamical processes taking place on the ensuing dynamical social networks.

  10. Temporal networks of face-to-face human interactions

    CERN Document Server

    Barrat, Alain

    2013-01-01

    The ever increasing adoption of mobile technologies and ubiquitous services allows to sense human behavior at unprecedented levels of details and scale. Wearable sensors are opening up a new window on human mobility and proximity at the finest resolution of face-to-face proximity. As a consequence, empirical data describing social and behavioral networks are acquiring a longitudinal dimension that brings forth new challenges for analysis and modeling. Here we review recent work on the representation and analysis of temporal networks of face-to-face human proximity, based on large-scale datasets collected in the context of the SocioPatterns collaboration. We show that the raw behavioral data can be studied at various levels of coarse-graining, which turn out to be complementary to one another, with each level exposing different features of the underlying system. We briefly review a generative model of temporal contact networks that reproduces some statistical observables. Then, we shift our focus from surface ...

  11. Ethical considerations in face transplantation.

    Science.gov (United States)

    Brown, Charles S; Gander, Brian; Cunningham, Michael; Furr, Allen; Vasilic, Dalibor; Wiggins, Osborne; Banis, Joseph C; Vossen, Marieke; Maldonado, Claudio; Perez-Abadia, Gustavo; Barker, John H

    2007-10-01

    Human face transplantation is now a clinical reality. The surgical techniques necessary to perform these procedures have been used routinely in reconstructive microsurgery for many years. From an immunological standpoint since face and hand contain mostly the same tissues it is reasonable to assume that the same immunosuppressive regimen found to be effective in human hand transplants should also work in face transplantation. It is the ethical issues associated with the risks and benefits of performing facial transplantation that have posed the greatest challenges leading up to performing this new procedure. In this editorial, we will review some of the main events that have led to the recently performed human face transplants, specifically focusing on the key ethical issues at the center of this debate. We will discuss how the research and clinical experience in human hand transplantation laid the foundation for performing face transplantation and describe the research and the ethical guidelines upon which a team at the University of Louisville based their position "to move ahead" in spite of much criticism. Finally we will outline some of the key arguments against face transplantation, and conclude with a discussion on what comes next now that the first human face transplants have been performed.

  12. Multithread Face Recognition in Cloud

    Directory of Open Access Journals (Sweden)

    Dakshina Ranjan Kisku

    2016-01-01

    Full Text Available Faces are highly challenging and dynamic objects that are employed as biometrics evidence in identity verification. Recently, biometrics systems have proven to be an essential security tools, in which bulk matching of enrolled people and watch lists is performed every day. To facilitate this process, organizations with large computing facilities need to maintain these facilities. To minimize the burden of maintaining these costly facilities for enrollment and recognition, multinational companies can transfer this responsibility to third-party vendors who can maintain cloud computing infrastructures for recognition. In this paper, we showcase cloud computing-enabled face recognition, which utilizes PCA-characterized face instances and reduces the number of invariant SIFT points that are extracted from each face. To achieve high interclass and low intraclass variances, a set of six PCA-characterized face instances is computed on columns of each face image by varying the number of principal components. Extracted SIFT keypoints are fused using sum and max fusion rules. A novel cohort selection technique is applied to increase the total performance. The proposed protomodel is tested on BioID and FEI face databases, and the efficacy of the system is proven based on the obtained results. We also compare the proposed method with other well-known methods.

  13. More Than a Pretty Face

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    The various facial make up designs in the Sichuan Opera are Chinese art treasures With the flick of a wrist,the intricate patterns painted on the opera performer’s face magically shift;the audience,awed

  14. Similarity measures for face recognition

    CERN Document Server

    Vezzetti, Enrico

    2015-01-01

    Face recognition has several applications, including security, such as (authentication and identification of device users and criminal suspects), and in medicine (corrective surgery and diagnosis). Facial recognition programs rely on algorithms that can compare and compute the similarity between two sets of images. This eBook explains some of the similarity measures used in facial recognition systems in a single volume. Readers will learn about various measures including Minkowski distances, Mahalanobis distances, Hansdorff distances, cosine-based distances, among other methods. The book also summarizes errors that may occur in face recognition methods. Computer scientists "facing face" and looking to select and test different methods of computing similarities will benefit from this book. The book is also useful tool for students undertaking computer vision courses.

  15. Face Recognition using Curvelet Transform

    CERN Document Server

    Cohen, Rami

    2011-01-01

    Face recognition has been studied extensively for more than 20 years now. Since the beginning of 90s the subject has became a major issue. This technology is used in many important real-world applications, such as video surveillance, smart cards, database security, internet and intranet access. This report reviews recent two algorithms for face recognition which take advantage of a relatively new multiscale geometric analysis tool - Curvelet transform, for facial processing and feature extraction. This transform proves to be efficient especially due to its good ability to detect curves and lines, which characterize the human's face. An algorithm which is based on the two algorithms mentioned above is proposed, and its performance is evaluated on three data bases of faces: AT&T (ORL), Essex Grimace and Georgia-Tech. k-nearest neighbour (k-NN) and Support vector machine (SVM) classifiers are used, along with Principal Component Analysis (PCA) for dimensionality reduction. This algorithm shows good results, ...

  16. Face Recognition in Various Illuminations

    Directory of Open Access Journals (Sweden)

    Saurabh D. Parmar,

    2014-05-01

    Full Text Available Face Recognition (FR under various illuminations is very challenging. Normalization technique is useful for removing the dimness and shadow from the facial image which reduces the effect of illumination variations still retaining the necessary information of the face. The robust local feature extractor which is the gray-scale invariant texture called Local Binary Pattern (LBP is helpful for feature extraction. K-Nearest Neighbor classifier is utilized for the purpose of classification and to match the face images from the database. Experimental results were based on Yale-B database with three different sub categories. The proposed method has been tested to robust face recognition in various illumination conditions. Extensive experiment shows that the proposed system can achieve very encouraging performance in various illumination environments.

  17. Covert Face Recognition without Prosopagnosia

    Directory of Open Access Journals (Sweden)

    H. D. Ellis

    1993-01-01

    Full Text Available An experiment is reported where subjects were presented with familiar or unfamiliar faces for supraliminal durations or for durations individually assessed as being below the threshold for recognition. Their electrodermal responses to each stimulus were measured and the results showed higher peak amplitude skin conductance responses for familiar than for unfamiliar faces, regardless of whether they had been displayed supraliminally or subliminally. A parallel is drawn between elevated skin conductance responses to subliminal stimuli and findings of covert recognition of familiar faces in prosopagnosic patients, some of whom show increased electrodermal activity (EDA to previously familiar faces. The supraliminal presentation data also served to replicate similar work by Tranel et al (1985. The results are considered alongside other data indicating the relation between non-conscious, “automatic” aspects of normal visual information processing and abilities which can be found to be preserved without awareness after brain injury.

  18. Bracing Zonohedra With Special Faces

    Directory of Open Access Journals (Sweden)

    Nagy Gyula

    2015-12-01

    Full Text Available The analysis of simpler preliminary design gives useful input for more complicated three-dimensional building frame structure. A zonohedron, as a preliminary structure of design, is a convex polyhedron for which each face possesses central symmetry. We considered zonohedron as a special framework with the special assumption that the polygonal faces can be deformed in such a way that faces remain planar and centrally symmetric, moreover the length of all edges remains unchanged. Introducing some diagonal braces we got a new mechanism. This paper deals with the flexibility of this kind of mechanisms, and investigates the rigidity of the braced framework. The flexibility of the framework can be characterized by some vectors, which represent equivalence classes of the edges. A necessary and sufficient condition for the rigidity of the braced rhombic face zonohedra is posed. A real mechanical construction, based on two simple elements, provides a CAD prototype of these new mechanisms.

  19. Face recognition using Krawtchouk moment

    Indian Academy of Sciences (India)

    J Sheeba Rani; D Devaraj

    2012-08-01

    Feature extraction is one of the important tasks in face recognition. Moments are widely used feature extractor due to their superior discriminatory power and geometrical invariance. Moments generally capture the global features of the image. This paper proposes Krawtchouk moment for feature extraction in face recognition system, which has the ability to extract local features from any region of interest. Krawtchouk moment is used to extract both local features and global features of the face. The extracted features are fused using summed normalized distance strategy. Nearest neighbour classifier is employed to classify the faces. The proposed method is tested using ORL and Yale databases. Experimental results show that the proposed method is able to recognize images correctly, even if the images are corrupted with noise and possess change in facial expression and tilt.

  20. Carbon-Type Analysis and Comparison of Original and Reblended FACE Diesel Fuels (FACE 2, FACE 4, and FACE 7)

    Energy Technology Data Exchange (ETDEWEB)

    Bays, J. Timothy; King, David L.; O' Hagan, Molly J.

    2012-10-01

    This report summarizes the carbon-type analysis from 1H and 13C{1H} nuclear magnetic resonance spectroscopy (NMR) of Fuels for Advanced Combustion Engines (FACE) diesel blends, FD-2B, FD 4B, and FD-7B, and makes comparison of the new blends with the original FACE diesel blends, FD 2A, FD 4A, and FD-7A, respectively. Generally, FD-2A and FD-2B are more similar than the A and B blends of FD-4 and FD-7. The aromatic carbon content is roughly equivalent, although the new FACE blends have decreased monoaromatic content and increased di- and tri-cycloaromatic content, as well as a higher overall aromatic content, than the original FACE blends. The aromatic components of the new FACE blends generally have a higher alkyl substitution with longer alkyl substituents. The naphthenic and paraffinic contents remained relatively consistent. Based on aliphatic methyl and methylene carbon ratios, cetane numbers for FD-2A and -2B, and FD-7A and -7B are predicted to be consistent, while the cetane number for FD-4B is predicted to be higher than FD-4A. Overall, the new FACE fuel blends are fairly consistent with the original FACE fuel blends, but there are observable differences. In addition to providing important comparative compositional information on reformulated FACE diesel blends, this report also provides important information about the capabilities of the team at Pacific Northwest National Laboratory in the use of NMR spectroscopy for the detailed characterization and comparison of fuels and fuel blends.

  1. 3D Face Apperance Model

    DEFF Research Database (Denmark)

    Lading, Brian; Larsen, Rasmus; Astrom, K

    2006-01-01

    We build a 3D face shape model, including inter- and intra-shape variations, derive the analytical Jacobian of its resulting 2D rendered image, and show example of its fitting performance with light, pose, id, expression and texture variations......We build a 3D face shape model, including inter- and intra-shape variations, derive the analytical Jacobian of its resulting 2D rendered image, and show example of its fitting performance with light, pose, id, expression and texture variations...

  2. 3D Face Appearance Model

    DEFF Research Database (Denmark)

    Lading, Brian; Larsen, Rasmus; Åström, Kalle

    2006-01-01

    We build a 3d face shape model, including inter- and intra-shape variations, derive the analytical jacobian of its resulting 2d rendered image, and show example of its fitting performance with light, pose, id, expression and texture variations.}......We build a 3d face shape model, including inter- and intra-shape variations, derive the analytical jacobian of its resulting 2d rendered image, and show example of its fitting performance with light, pose, id, expression and texture variations.}...

  3. Face activated neurodynamic cortical networks.

    Science.gov (United States)

    Susac, Ana; Ilmoniemi, Risto J; Ranken, Doug; Supek, Selma

    2011-05-01

    Previous neuroimaging studies have shown that complex visual stimuli, such as faces, activate multiple brain regions, yet little is known on the dynamics and complexity of the activated cortical networks during the entire measurable evoked response. In this study, we used simulated and face-evoked empirical MEG data from an oddball study to investigate the feasibility of accurate, efficient, and reliable spatio-temporal tracking of cortical pathways over prolonged time intervals. We applied a data-driven, semiautomated approach to spatio-temporal source localization with no prior assumptions on active cortical regions to explore non-invasively face-processing dynamics and their modulation by task. Simulations demonstrated that the use of multi-start downhill simplex and data-driven selections of time intervals submitted to the Calibrated Start Spatio-Temporal (CSST) algorithm resulted in improved accuracy of the source localization and the estimation of the onset of their activity. Locations and dynamics of the identified sources indicated a distributed cortical network involved in face processing whose complexity was task dependent. This MEG study provided the first non-invasive demonstration, agreeing with intracranial recordings, of an early onset of the activity in the fusiform face gyrus (FFG), and that frontal activation preceded parietal for responses elicited by target faces.

  4. Statistical Model-Based Face Pose Estimation

    Institute of Scientific and Technical Information of China (English)

    GE Xinliang; YANG Jie; LI Feng; WANG Huahua

    2007-01-01

    A robust face pose estimation approach is proposed by using face shape statistical model approach and pose parameters are represented by trigonometric functions. The face shape statistical model is firstly built by analyzing the face shapes from different people under varying poses. The shape alignment is vital in the process of building the statistical model. Then, six trigonometric functions are employed to represent the face pose parameters. Lastly, the mapping function is constructed between face image and face pose by linearly relating different parameters. The proposed approach is able to estimate different face poses using a few face training samples. Experimental results are provided to demonstrate its efficiency and accuracy.

  5. Cross-correlation in face discrimination

    NARCIS (Netherlands)

    Simpson, William A.; Loffler, Gunter; Tucha, Lara

    2013-01-01

    An extensive body of literature suggests that face perception depends critically upon specialised face processing mechanisms. Although it seems clear that specialised face processing is required to explain face recognition, face discrimination is a simpler task that could possibly be solved with a g

  6. Atypical face gaze in autism.

    Science.gov (United States)

    Trepagnier, Cheryl; Sebrechts, Marc M; Peterson, Rebecca

    2002-06-01

    An eye-tracking study of face and object recognition was conducted to clarify the character of face gaze in autistic spectrum disorders. Experimental participants were a group of individuals diagnosed with Asperger's disorder or high-functioning autistic disorder according to their medical records and confirmed by the Autism Diagnostic Interview-Revised (ADI-R). Controls were selected on the basis of age, gender, and educational level to be comparable to the experimental group. In order to maintain attentional focus, stereoscopic images were presented in a virtual reality (VR) headset in which the eye-tracking system was installed. Preliminary analyses show impairment in face recognition, in contrast with equivalent and even superior performance in object recognition among participants with autism-related diagnoses, relative to controls. Experimental participants displayed less fixation on the central face than did control-group participants. The findings, within the limitations of the small number of subjects and technical difficulties encountered in utilizing the helmet-mounted display, suggest an impairment in face processing on the part of the individuals in the experimental group. This is consistent with the hypothesis of disruption in the first months of life, a period that may be critical to typical social and cognitive development, and has important implications for selection of appropriate targets of intervention.

  7. Optimizing Face Recognition Using PCA

    Directory of Open Access Journals (Sweden)

    Manal Abdullah

    2012-03-01

    Full Text Available Principle Component Analysis PCA is a classical feature extraction and data representation technique widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has drawback of high computational especially for big size database. This paper conducts a study to optimize the time complexity of PCA (eigenfaces that does not affects the recognition performance. The authors minimize the participated eigenvectors which consequently decreases the computational time. A comparison is done to compare the differences between the recognition time in the original algorithm and in the enhanced algorithm. The performance of the original and the enhanced proposed algorithm is tested on face94 face database. Experimental results show that the recognition time is reduced by 35% by applying our proposed enhanced algorithm. DET Curves are used to illustrate the experimental results.

  8. Optimizing Face Recognition Using PCA

    Directory of Open Access Journals (Sweden)

    Manal Abdullah

    2012-04-01

    Full Text Available Principle Component Analysis PCA is a classical feature extraction and data representation technique widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has drawback of high computational especially for big size database. This paper conducts a study to optimize the time complexity of PCA (eigenfaces that does not affects the recognition performance. The authorsminimize the participated eigenvectors which consequently decreases the computational time. A comparison is done to compare the differences between the recognition time in the original algorithm and in the enhanced algorithm. The performance of the original and the enhanced proposed algorithm is tested on face94 face database. Experimental results show that the recognition time is reduced by 35% by applying our proposed enhanced algorithm. DET Curves are used to illustrate the experimental results.

  9. Eye-tracking analysis of face observing and face recognition

    Directory of Open Access Journals (Sweden)

    Andrej Iskra

    2016-07-01

    Full Text Available Images are one of the key elements of the content of the World Wide Web. One group of web images are also photos of people. When various institutions (universities, research organizations, companies, associations, etc. present their staff, they should include photos of people for the purpose of more informative presentation. The fact is, that there are many specifies how people see face images and how do they remember them. Several methods to investigate person’s behavior during use of web content can be performed and one of the most reliable method among them is eye tracking. It is very common technique, particularly when it comes to observing web images. Our research focused on behavior of observing face images in process of memorizing them. Test participants were presented with face images shown at different time scale. We focused on three main face elements: eyes, mouth and nose. The results of our analysis can help not only in web presentation, which are, in principle, not limited by time observation, but especially in public presentations (conferences, symposia, and meetings.

  10. Face Recognition in Uncontrolled Environment

    Directory of Open Access Journals (Sweden)

    Radhey Shyam

    2016-08-01

    Full Text Available This paper presents a novel method of facial image representation for face recognition in uncontrolled environment. It is named as augmented local binary patterns (A-LBP that works on both, uniform and non-uniform patterns. It replaces the central non-uniform pattern with a majority value of the neighbouring uniform patterns obtained after processing all neighbouring non-uniform patterns. These patterns are finally combined with the neighbouring uniform patterns, in order to extract discriminatory information from the local descriptors. The experimental results indicate the vitality of the proposed method on particular face datasets, where the images are prone to extreme variations of illumination.

  11. Instant PrimeFaces starter

    CERN Document Server

    Hlavats, Ian

    2013-01-01

    Get to grips with a new technology, understand what it is and what it can do for you, and then get to work with the most important features and tasks. Instant Primefaces Starter is a fast-paced, introductory guide designed to give you all the information you need to start using Primfaces, instantly.Instant PrimeFaces Starter is great for developers looking to get started quickly with PrimeFaces. It's assumed that you have some JSF experience already, as well as familiarity with other Java technologies such as CDI and JPA and an understanding of MVC principles, object-relational mapping (ORM),

  12. A Survey: Face Recognition Techniques

    Directory of Open Access Journals (Sweden)

    Muhammad Sharif

    2012-12-01

    Full Text Available In this study, the existing techniques of face recognition are to be encountered along with their pros and cons to conduct a brief survey. The most general methods include Eigenface (Eigenfeatures, Hidden Markov Model (HMM, geometric based and template matching approaches. This survey actually performs analysis on these approaches in order to constitute face representations which will be discussed as under. In the second phase of the survey, factors affecting the recognition rates and processes are also discussed along with the solutions provided by different authors.

  13. Embedded Face Detection and Recognition

    Directory of Open Access Journals (Sweden)

    Göksel Günlü

    2012-10-01

    Full Text Available The need to increase security in open or public spaces has in turn given rise to the requirement to monitor these spaces and analyse those images on‐site and on‐time. At this point, the use of smart cameras ‐ of which the popularity has been increasing ‐ is one step ahead. With sensors and Digital Signal Processors (DSPs, smart cameras generate ad hoc results by analysing the numeric images transmitted from the sensor by means of a variety of image‐processing algorithms. Since the images are not transmitted to a distance processing unit but rather are processed inside the camera, it does not necessitate high‐ bandwidth networks or high processor powered systems; it can instantaneously decide on the required access. Nonetheless, on account of restricted memory, processing power and overall power, image processing algorithms need to be developed and optimized for embedded processors. Among these algorithms, one of the most important is for face detection and recognition. A number of face detection and recognition methods have been proposed recently and many of these methods have been tested on general‐purpose processors. In smart cameras ‐ which are real‐life applications of such methods ‐ the widest use is on DSPs. In the present study, the Viola‐Jones face detection method ‐ which was reported to run faster on PCs ‐ was optimized for DSPs; the face recognition method was combined with the developed sub‐region and mask‐based DCT (Discrete Cosine Transform. As the employed DSP is a fixed‐point processor, the processes were performed with integers insofar as it was possible. To enable face recognition, the image was divided into sub‐ regions and from each sub‐region the robust coefficients against disruptive elements ‐ like face expression, illumination, etc. ‐ were selected as the features. The discrimination of the selected features was enhanced via LDA (Linear Discriminant Analysis and then employed for

  14. Saving Face and Group Identity

    DEFF Research Database (Denmark)

    Eriksson, Tor; Mao, Lei; Villeval, Marie-Claire

    2015-01-01

    their self- but also other group members' image. This behavior is frequent even in the absence of group identity. When group identity is more salient, individuals help regardless of whether the least performer is an in-group or an out-group. This suggests that saving others' face is a strong social norm.......Are people willing to sacrifice resources to save one's and others' face? In a laboratory experiment, we study whether individuals forego resources to avoid the public exposure of the least performer in their group. We show that a majority of individuals are willing to pay to preserve not only...

  15. Incorporating Online Discussion in Face to Face Classroom Learning: A New Blended Learning Approach

    Science.gov (United States)

    Chen, Wenli; Looi, Chee-Kit

    2007-01-01

    This paper discusses an innovative blended learning strategy which incorporates online discussion in both in-class face to face, and off-classroom settings. Online discussion in a face to face class is compared with its two counterparts, off-class online discussion as well as in-class, face to face oral discussion, to examine the advantages and…

  16. Artificial faces are harder to remember.

    Science.gov (United States)

    Balas, Benjamin; Pacella, Jonathan

    2015-11-01

    Observers interact with artificial faces in a range of different settings and in many cases must remember and identify computer-generated faces. In general, however, most adults have heavily biased experience favoring real faces over synthetic faces. It is well known that face recognition abilities are affected by experience such that faces belonging to "out-groups" defined by race or age are more poorly remembered and harder to discriminate from one another than faces belonging to the "in-group." Here, we examine the extent to which artificial faces form an "out-group" in this sense when other perceptual categories are matched. We rendered synthetic faces using photographs of real human faces and compared performance in a memory task and a discrimination task across real and artificial versions of the same faces. We found that real faces were easier to remember, but only slightly more discriminable than artificial faces. Artificial faces were also equally susceptible to the well-known face inversion effect, suggesting that while these patterns are still processed by the human visual system in a face-like manner, artificial appearance does compromise the efficiency of face processing.

  17. Towards automatic forensic face recognition

    NARCIS (Netherlands)

    Ali, Tauseef; Spreeuwers, Luuk; Veldhuis, Raymond

    2011-01-01

    In this paper we present a methodology and experimental results for evidence evaluation in the context of forensic face recognition. In forensic applications, the matching score (hereafter referred to as similarity score) from a biometric system must be represented as a Likelihood Ratio (LR). In our

  18. The Face of the Moon

    Institute of Scientific and Technical Information of China (English)

    张保

    2001-01-01

    Have you ever seen the man in the moon?If you look closelyat the moon on some nights, you can see the face of the man in themoon. Some people say that they can see an old man carryingsticks. Others see a girl reading a book. These pictures are madeby the mountains (山脉) and plains (平原) of the moon.

  19. The Two Faces of Micropolitics.

    Science.gov (United States)

    Hoyle, Eric

    1999-01-01

    Demystifies the two "faces" of micropolitics. "Policy micropolitics" distinguishes between micropolitics and management and focuses on the relationship between school micropolitics and the wider macropolitical context. "Management micropolitics" makes no clear micropolitics/management distinction and focuses on educators' strategies to pursue…

  20. Face recognition, a landmarks tale

    NARCIS (Netherlands)

    Beumer, Gerrit Maarten

    2009-01-01

    Face recognition is a technology that appeals to the imagination of many people. This is particularly reflected in the popularity of science-fiction films and forensic detective series such as CSI, CSI New York, CSI Miami, Bones and NCIS. Although these series tend to be set in the present, their a

  1. Continuing Education: Facing the Issues.

    Science.gov (United States)

    Broadbent, Marianne

    1986-01-01

    Examines a number of issues facing the Australian library and information services community in the area of continuing education, including recommendations of the Library Association of Australia, the cost of continuing education activities, the role and responsibility of schools of library and information studies, and notions of coordination.…

  2. Cool Styles for Your Face

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    GLASSES are a part of modern fashion. The right spectacle frames can not only add some demureness to you, but also perfect your face. To choose suitable frames for yourself, you must first know your own features. Comb all your hair backwards to show your entire features clearly in front of the

  3. Face-Sealing Butterfly Valve

    Science.gov (United States)

    Tervo, John N.

    1992-01-01

    Valve plate made to translate as well as rotate. Valve opened and closed by turning shaft and lever. Interactions among lever, spring, valve plate, and face seal cause plate to undergo combination of translation and rotation so valve plate clears seal during parts of opening and closing motions.

  4. Repetition priming from moving faces.

    Science.gov (United States)

    Lander, Karen; Bruce, Vicki

    2004-06-01

    Recent experiments have suggested that seeing a familiar face move provides additional dynamic information to the viewer, useful in the recognition of identity. In four experiments, repetition priming was used to investigate whether dynamic information is intrinsic to the underlying face representations. The results suggest that a moving image primes more effectively than a static image, even when the same static image is shown in the prime and the test phases (Experiment 1). Furthermore, when moving images are presented in the test phase (Experiment 2), there is an advantage for moving prime images. The most priming advantage is found with naturally moving faces, rather than with those shown in slow motion (Experiment 3). Finally, showing the same moving sequence at prime and test produced more priming than that found when different moving sequences were shown (Experiment 4). The results suggest that dynamic information is intrinsic to the face representations and that there is an advantage to viewing the same moving sequence at prime and test.

  5. Facing a dark winter. Albania

    Energy Technology Data Exchange (ETDEWEB)

    Truijen, A.

    2007-11-15

    Albania is once again facing a dark winter. The country has already been suffering power cuts lasting a couple of hours a day for the past seventeen years, Drought, increased power consumption and political maladministration are the factors underlying the electricity problems that have now mushroomed into a national crisis.

  6. Interpretative challenges in face analysis

    DEFF Research Database (Denmark)

    de Oliveira, Sandi Michele; Hernández-Flores, Nieves

    2015-01-01

    In current research on face analysis questions of who and what should be interpreted, as well as how, are of central interest. In English language research, this question has led to a debate on the concepts of P1 (laypersons, representing the “emic” perspective) and P2 (researchers, representing ...

  7. Face to Face : The Perception of Automotive Designs.

    Science.gov (United States)

    Windhager, Sonja; Slice, Dennis E; Schaefer, Katrin; Oberzaucher, Elisabeth; Thorstensen, Truls; Grammer, Karl

    2008-12-01

    Over evolutionary time, humans have developed a selective sensitivity to features in the human face that convey information on sex, age, emotions, and intentions. This ability might not only be applied to our conspecifics nowadays, but also to other living objects (i.e., animals) and even to artificial structures, such as cars. To investigate this possibility, we asked people to report the characteristics, emotions, personality traits, and attitudes they attribute to car fronts, and we used geometric morphometrics (GM) and multivariate statistical methods to determine and visualize the corresponding shape information. Automotive features and proportions are found to covary with trait perception in a manner similar to that found with human faces. Emerging analogies are discussed. This study should have implications for both our understanding of our prehistoric psyche and its interrelation with the modern world.

  8. Face detection by aggregated Bayesian network classifiers

    NARCIS (Netherlands)

    Pham, T.V.; Worring, M.; Smeulders, A.W.M.

    2002-01-01

    A face detection system is presented. A new classification method using forest-structured Bayesian networks is used. The method is used in an aggregated classifier to discriminate face from non-face patterns. The process of generating non-face patterns is integrated with the construction of the aggr

  9. Kernel learning algorithms for face recognition

    CERN Document Server

    Li, Jun-Bao; Pan, Jeng-Shyang

    2013-01-01

    Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included within are algorithms of kernel based face recognition, and also the feasibility of the kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face recognition methods and its new

  10. Face Detection and Face Recognition in Android Mobile Applications

    Directory of Open Access Journals (Sweden)

    Octavian DOSPINESCU

    2016-01-01

    Full Text Available The quality of the smartphone’s camera enables us to capture high quality pictures at a high resolution, so we can perform different types of recognition on these images. Face detection is one of these types of recognition that is very common in our society. We use it every day on Facebook to tag friends in our pictures. It is also used in video games alongside Kinect concept, or in security to allow the access to private places only to authorized persons. These are just some examples of using facial recognition, because in modern society, detection and facial recognition tend to surround us everywhere. The aim of this article is to create an appli-cation for smartphones that can recognize human faces. The main goal of this application is to grant access to certain areas or rooms only to certain authorized persons. For example, we can speak here of hospitals or educational institutions where there are rooms where only certain employees can enter. Of course, this type of application can cover a wide range of uses, such as helping people suffering from Alzheimer's to recognize the people they loved, to fill gaps persons who can’t remember the names of their relatives or for example to automatically capture the face of our own children when they smile.

  11. Perceptual load effects on processing distractor faces indicate face-specific capacity limits

    OpenAIRE

    Thoma, Volker; Lavie, Nilli

    2013-01-01

    The claim that face perception is mediated by a specialized ‘face module’ that proceeds automatically, independently of attention (e.g., Kanwisher, 2000) can be reconciled with load theory claims that visual perception has limited capacity (e.g., Lavie, 1995) by hypothesizing that face perception has face-specific capacity limits. We tested this hypothesis by comparing the effects of face and non-face perceptual load on distractor face processing. Participants searched a central array of eith...

  12. Unconstrained Face Verification using Deep CNN Features

    OpenAIRE

    Chen, Jun-Cheng; Patel, Vishal M.; Chellappa, Rama

    2015-01-01

    In this paper, we present an algorithm for unconstrained face verification based on deep convolutional features and evaluate it on the newly released IARPA Janus Benchmark A (IJB-A) dataset. The IJB-A dataset includes real-world unconstrained faces from 500 subjects with full pose and illumination variations which are much harder than the traditional Labeled Face in the Wild (LFW) and Youtube Face (YTF) datasets. The deep convolutional neural network (DCNN) is trained using the CASIA-WebFace ...

  13. Social cognition in Williams syndrome: face tuning

    Directory of Open Access Journals (Sweden)

    Marina A Pavlova

    2016-08-01

    Full Text Available Many neurological, neurodevelopmental, neuropsychiatric and psychosomatic disorders are characterized by impairments in visual social cognition, body language reading, and facial assessment of a social counterpart. Yet a wealth of research indicates that individuals with Williams syndrome exhibit remarkable concern for social stimuli and face fascination. Here individuals with Williams syndrome were presented with a set of Face-n-Food images composed of food ingredients and in different degree resembling a face (slightly bordering on the Giuseppe Arcimboldo style. The primary advantage of these images is that single components do not explicitly trigger face-specific processing, whereas in face images commonly used for investigating face perception (such as photographs or depictions, the mere occurrence of typical cues already implicates face presence. In a spontaneous recognition task, participants were shown a set of images in a predetermined order from the least to most resembling a face. Strikingly, individuals with Williams syndrome exhibited profound deficits in recognition of the Face-n-Food images as a face: they did not report seeing a face on the images, which typically developing controls effortlessly recognized as a face, and gave overall fewer face responses. This suggests atypical face tuning in Williams syndrome. The outcome is discussed in the light of a general pattern of social cognition in Williams syndrome and brain mechanisms underpinning face processing.

  14. Social Cognition in Williams Syndrome: Face Tuning.

    Science.gov (United States)

    Pavlova, Marina A; Heiz, Julie; Sokolov, Alexander N; Barisnikov, Koviljka

    2016-01-01

    Many neurological, neurodevelopmental, neuropsychiatric, and psychosomatic disorders are characterized by impairments in visual social cognition, body language reading, and facial assessment of a social counterpart. Yet a wealth of research indicates that individuals with Williams syndrome exhibit remarkable concern for social stimuli and face fascination. Here individuals with Williams syndrome were presented with a set of Face-n-Food images composed of food ingredients and in different degree resembling a face (slightly bordering on the Giuseppe Arcimboldo style). The primary advantage of these images is that single components do not explicitly trigger face-specific processing, whereas in face images commonly used for investigating face perception (such as photographs or depictions), the mere occurrence of typical cues already implicates face presence. In a spontaneous recognition task, participants were shown a set of images in a predetermined order from the least to most resembling a face. Strikingly, individuals with Williams syndrome exhibited profound deficits in recognition of the Face-n-Food images as a face: they did not report seeing a face on the images, which typically developing controls effortlessly recognized as a face, and gave overall fewer face responses. This suggests atypical face tuning in Williams syndrome. The outcome is discussed in the light of a general pattern of social cognition in Williams syndrome and brain mechanisms underpinning face processing.

  15. Markerless 3D Face Tracking

    DEFF Research Database (Denmark)

    Walder, Christian; Breidt, Martin; Bulthoff, Heinrich

    2009-01-01

    We present a novel algorithm for the markerless tracking of deforming surfaces such as faces. We acquire a sequence of 3D scans along with color images at 40Hz. The data is then represented by implicit surface and color functions, using a novel partition-of-unity type method of efficiently...... combining local regressors using nearest neighbor searches. Both these functions act on the 4D space of 3D plus time, and use temporal information to handle the noise in individual scans. After interactive registration of a template mesh to the first frame, it is then automatically deformed to track...... the scanned surface, using the variation of both shape and color as features in a dynamic energy minimization problem. Our prototype system yields high-quality animated 3D models in correspondence, at a rate of approximately twenty seconds per timestep. Tracking results for faces and other objects...

  16. The IMM Frontal Face Database

    DEFF Research Database (Denmark)

    Fagertun, Jens; Stegmann, Mikkel Bille

    2005-01-01

    This note describes a data set consisting of 120 annotated monocular images of 12 different frontal human faces. Points of correspondence are placed on each image so the data set can be readily used for building statistical models of shape. Format specifications and terms of use are also given in...... in this note. The data set is available in two versions: i) low resolution, given in the zip-file electronic version, ii) high, given in the publication link....

  17. Pilgrims Face Recognition Dataset -- HUFRD

    OpenAIRE

    Aly, Salah A.

    2012-01-01

    In this work, we define a new pilgrims face recognition dataset, called HUFRD dataset. The new developed dataset presents various pilgrims' images taken from outside the Holy Masjid El-Harram in Makkah during the 2011-2012 Hajj and Umrah seasons. Such dataset will be used to test our developed facial recognition and detection algorithms, as well as assess in the missing and found recognition system \\cite{crowdsensing}.

  18. Online or Face to Face? A Comparison of Two Methods of Training Professionals

    Science.gov (United States)

    Dillon, Kristin; Dworkin, Jodi; Gengler, Colleen; Olson, Kathleen

    2008-01-01

    Online courses offer benefits over face-to-face courses such as accessibility, affordability, and flexibility. Literature assessing the effectiveness of face-to-face and online courses is growing, but findings remain inconclusive. This study compared evaluations completed by professionals who had taken a research update short course either face to…

  19. Familiar Face Recognition in Children with Autism: The Differential Use of Inner and Outer Face Parts

    Science.gov (United States)

    Wilson, Rebecca; Pascalis, Olivier; Blades, Mark

    2007-01-01

    We investigated whether children with autistic spectrum disorders (ASD) have a deficit in recognising familiar faces. Children with ASD were given a forced choice familiar face recognition task with three conditions: full faces, inner face parts and outer face parts. Control groups were children with developmental delay (DD) and typically…

  20. Face feature processor on mobile service robot

    Science.gov (United States)

    Ahn, Ho Seok; Park, Myoung Soo; Na, Jin Hee; Choi, Jin Young

    2005-12-01

    In recent years, many mobile service robots have been developed. These robots are different from industrial robots. Service robots were confronted to unexpected changes in the human environment. So many capabilities were needed to service mobile robot, for example, the capability to recognize people's face and voice, the capability to understand people's conversation, and the capability to express the robot's thinking etc. This research considered face detection, face tracking and face recognition from continuous camera image. For face detection module, it used CBCH algorithm using openCV library from Intel Corporation. For face tracking module, it used the fuzzy controller to control the pan-tilt camera movement smoothly with face detection result. A PCA-FX, which adds class information to PCA, was used for face recognition module. These three procedures were called face feature processor, which were implemented on mobile service robot OMR to verify.

  1. Face recognition increases during saccade preparation.

    Directory of Open Access Journals (Sweden)

    Hai Lin

    Full Text Available Face perception is integral to human perception system as it underlies social interactions. Saccadic eye movements are frequently made to bring interesting visual information, such as faces, onto the fovea for detailed processing. Just before eye movement onset, the processing of some basic features, such as the orientation, of an object improves at the saccade landing point. Interestingly, there is also evidence that indicates faces are processed in early visual processing stages similar to basic features. However, it is not known whether this early enhancement of processing includes face recognition. In this study, three experiments were performed to map the timing of face presentation to the beginning of the eye movement in order to evaluate pre-saccadic face recognition. Faces were found to be similarly processed as simple objects immediately prior to saccadic movements. Starting ∼ 120 ms before a saccade to a target face, independent of whether or not the face was surrounded by other faces, the face recognition gradually improved and the critical spacing of the crowding decreased as saccade onset was approaching. These results suggest that an upcoming saccade prepares the visual system for new information about faces at the saccade landing site and may reduce the background in a crowd to target the intended face. This indicates an important role of pre-saccadic eye movement signals in human face recognition.

  2. Familiar Face Detection in 180ms

    Science.gov (United States)

    Visconti di Oleggio Castello, Matteo; Gobbini, M. Ida

    2015-01-01

    The visual system is tuned for rapid detection of faces, with the fastest choice saccade to a face at 100ms. Familiar faces have a more robust representation than do unfamiliar faces, and are detected faster in the absence of awareness and with reduced attentional resources. Faces of family and close friends become familiar over a protracted period involving learning the unique visual appearance, including a view-invariant representation, as well as person knowledge. We investigated the effect of personal familiarity on the earliest stages of face processing by using a saccadic-choice task to measure how fast familiar face detection can happen. Subjects made correct and reliable saccades to familiar faces when unfamiliar faces were distractors at 180ms—very rapid saccades that are 30 to 70ms earlier than the earliest evoked potential modulated by familiarity. By contrast, accuracy of saccades to unfamiliar faces with familiar faces as distractors did not exceed chance. Saccades to faces with object distractors were even faster (110 to 120 ms) and equivalent for familiar and unfamiliar faces, indicating that familiarity does not affect ultra-rapid saccades. We propose that detectors of diagnostic facial features for familiar faces develop in visual cortices through learning and allow rapid detection that precedes explicit recognition of identity. PMID:26305788

  3. Face recognition increases during saccade preparation.

    Science.gov (United States)

    Lin, Hai; Rizak, Joshua D; Ma, Yuan-ye; Yang, Shang-chuan; Chen, Lin; Hu, Xin-tian

    2014-01-01

    Face perception is integral to human perception system as it underlies social interactions. Saccadic eye movements are frequently made to bring interesting visual information, such as faces, onto the fovea for detailed processing. Just before eye movement onset, the processing of some basic features, such as the orientation, of an object improves at the saccade landing point. Interestingly, there is also evidence that indicates faces are processed in early visual processing stages similar to basic features. However, it is not known whether this early enhancement of processing includes face recognition. In this study, three experiments were performed to map the timing of face presentation to the beginning of the eye movement in order to evaluate pre-saccadic face recognition. Faces were found to be similarly processed as simple objects immediately prior to saccadic movements. Starting ∼ 120 ms before a saccade to a target face, independent of whether or not the face was surrounded by other faces, the face recognition gradually improved and the critical spacing of the crowding decreased as saccade onset was approaching. These results suggest that an upcoming saccade prepares the visual system for new information about faces at the saccade landing site and may reduce the background in a crowd to target the intended face. This indicates an important role of pre-saccadic eye movement signals in human face recognition.

  4. Face-to-face or not-to-face: A technology preference for communication.

    Science.gov (United States)

    Jaafar, Noor Ismawati; Darmawan, Bobby; Mohamed Ariffin, Mohd Yahya

    2014-11-01

    This study employed the Model of Technology Preference (MTP) to explain the relationship of the variables as the antecedents of behavioral intention to adopt a social networking site (SNS) for communication. Self-administered questionnaires were distributed to SNS account users using paper-based and web-based surveys that led to 514 valid responses. The data were analyzed using structural equation modeling (SEM). The results show that two out of three attributes of the attribute-based preference (ATRP) affect attitude-based preference (ATTP). The data support the hypotheses that perceived enjoyment and social presence are predictors of ATTP. In this study, the findings further indicated that ATTP has no relationship with the behavioral intention of using SNS, but it has a relationship with the attitude of using SNS. SNS development should provide features that ensure enjoyment and social presence for users to communicate instead of using the traditional face-to-face method of communication.

  5. The MUSE project face to face with reality

    Science.gov (United States)

    Caillier, P.; Accardo, M.; Adjali, L.; Anwand, H.; Bacon, Roland; Boudon, D.; Brotons, L.; Capoani, L.; Daguisé, E.; Dupieux, M.; Dupuy, C.; François, M.; Glindemann, A.; Gojak, D.; Hansali, G.; Hahn, T.; Jarno, A.; Kelz, A.; Koehler, C.; Kosmalski, J.; Laurent, F.; Le Floch, M.; Lizon, J.-L.; Loupias, M.; Manescau, A.; Migniau, J. E.; Monstein, C.; Nicklas, H.; Parès, L.; Pécontal-Rousset, A.; Piqueras, L.; Reiss, R.; Remillieux, A.; Renault, E.; Rupprecht, G.; Streicher, O.; Stuik, R.; Valentin, H.; Vernet, J.; Weilbacher, P.; Zins, G.

    2012-09-01

    MUSE (Multi Unit Spectroscopic Explorer) is a second generation instrument built for ESO (European Southern Observatory) to be installed in Chile on the VLT (Very Large Telescope). The MUSE project is supported by a European consortium of 7 institutes. After the critical turning point of shifting from the design to the manufacturing phase, the MUSE project has now completed the realization of its different sub-systems and should finalize its global integration and test in Europe. To arrive to this point many challenges had to be overcome, many technical difficulties, non compliances or procurements delays which seemed at the time overwhelming. Now is the time to face the results of our organization, of our strategy, of our choices. Now is the time to face the reality of the MUSE instrument. During the design phase a plan was provided by the project management in order to achieve the realization of the MUSE instrument in specification, time and cost. This critical moment in the project life when the instrument takes shape and reality is the opportunity to look not only at the outcome but also to see how well we followed the original plan, what had to be changed or adapted and what should have been.

  6. Seeing a haptically explored face: visual facial-expression aftereffect from haptic adaptation to a face.

    Science.gov (United States)

    Matsumiya, Kazumichi

    2013-10-01

    Current views on face perception assume that the visual system receives only visual facial signals. However, I show that the visual perception of faces is systematically biased by adaptation to a haptically explored face. Recently, face aftereffects (FAEs; the altered perception of faces after adaptation to a face) have been demonstrated not only in visual perception but also in haptic perception; therefore, I combined the two FAEs to examine whether the visual system receives face-related signals from the haptic modality. I found that adaptation to a haptically explored facial expression on a face mask produced a visual FAE for facial expression. This cross-modal FAE was not due to explicitly imaging a face, response bias, or adaptation to local features. Furthermore, FAEs transferred from vision to haptics. These results indicate that visual face processing depends on substrates adapted by haptic faces, which suggests that face processing relies on shared representation underlying cross-modal interactions.

  7. Simultaneous face and voice processing in schizophrenia.

    Science.gov (United States)

    Liu, Taosheng; Pinheiro, Ana P; Zhao, Zhongxin; Nestor, Paul G; McCarley, Robert W; Niznikiewicz, Margaret

    2016-05-15

    While several studies have consistently demonstrated abnormalities in the unisensory processing of face and voice in schizophrenia (SZ), the extent of abnormalities in the simultaneous processing of both types of information remains unclear. To address this issue, we used event-related potentials (ERP) methodology to probe the multisensory integration of face and non-semantic sounds in schizophrenia. EEG was recorded from 18 schizophrenia patients and 19 healthy control (HC) subjects in three conditions: neutral faces (visual condition-VIS); neutral non-semantic sounds (auditory condition-AUD); neutral faces presented simultaneously with neutral non-semantic sounds (audiovisual condition-AUDVIS). When compared with HC, the schizophrenia group showed less negative N170 to both face and face-voice stimuli; later P270 peak latency in the multimodal condition of face-voice relative to unimodal condition of face (the reverse was true in HC); reduced P400 amplitude and earlier P400 peak latency in the face but not in the voice-face condition. Thus, the analysis of ERP components suggests that deficits in the encoding of facial information extend to multimodal face-voice stimuli and that delays exist in feature extraction from multimodal face-voice stimuli in schizophrenia. In contrast, categorization processes seem to benefit from the presentation of simultaneous face-voice information. Timepoint by timepoint tests of multimodal integration did not suggest impairment in the initial stages of processing in schizophrenia.

  8. Robust Face Image Matching under Illumination Variations

    Directory of Open Access Journals (Sweden)

    Yang Chyuan-Huei Thomas

    2004-01-01

    Full Text Available Face image matching is an essential step for face recognition and face verification. It is difficult to achieve robust face matching under various image acquisition conditions. In this paper, a novel face image matching algorithm robust against illumination variations is proposed. The proposed image matching algorithm is motivated by the characteristics of high image gradient along the face contours. We define a new consistency measure as the inner product between two normalized gradient vectors at the corresponding locations in two images. The normalized gradient is obtained by dividing the computed gradient vector by the corresponding locally maximal gradient magnitude. Then we compute the average consistency measures for all pairs of the corresponding face contour pixels to be the robust matching measure between two face images. To alleviate the problem due to shadow and intensity saturation, we introduce an intensity weighting function for each individual consistency measure to form a weighted average of the consistency measure. This robust consistency measure is further extended to integrate multiple face images of the same person captured under different illumination conditions, thus making our robust face matching algorithm. Experimental results of applying the proposed face image matching algorithm on some well-known face datasets are given in comparison with some existing face recognition methods. The results show that the proposed algorithm consistently outperforms other methods and achieves higher than 93% recognition rate with three reference images for different datasets under different lighting conditions.

  9. Urbanize or Face the Consequences

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    China’s complex economic situation has been unprecedentedly challenged since the reform and opening-up policy adopted three decades ago. In an article published in the May 14 issue of Caijing magazine, Guo Shuqing,President of China Construction Bank, one of China’s four state-owned commercial lenders, stressed that the issues of agriculture, rural areas and farmers are the biggest challenges facing the country’s economic stability.Guo says only through an exceptional urbanization process can rapidly advancing social development be maintained. Excerpts:

  10. Facing Tomorrow's Challenges - An Overview

    Science.gov (United States)

    ,

    2008-01-01

    In 2007, the U.S. Geological Survey (USGS) developed a science strategy outlining the major natural-science issues facing the Nation in the next decade. The science strategy consists of six science directions of critical importance, focusing on areas where natural science can make a substantial contribution to the well-being of the Nation and the world. This fact sheet is an overview of the science strategy and describes how USGS research can strengthen the Nation with information needed to meet the challenges of the 21st century.

  11. Facing Diabetes: What You Need to Know

    Science.gov (United States)

    ... of this page please turn Javascript on. Feature: Diabetes Facing Diabetes: What You Need to Know Past Issues / Fall ... your loved ones. Photos: AP The Faces of Diabetes Diabetes strikes millions of Americans, young and old, ...

  12. Attractive faces temporally modulate visual attention

    Directory of Open Access Journals (Sweden)

    Koyo eNakamura

    2014-06-01

    Full Text Available Facial attractiveness is an important biological and social signal on social interaction. Recent research has demonstrated that an attractive face captures greater spatial attention than an unattractive face does. Little is known, however, about the temporal characteristics of visual attention for facial attractiveness. In this study, we investigated the temporal modulation of visual attention induced by facial attractiveness by using a rapid serial visual presentation (RSVP. Fourteen male faces and two female faces were successively presented for 160 ms respectively, and participants were asked to identify two female faces embedded among a series of multiple male distractor faces. Identification of a second female target (T2 was impaired when a first target (T1 was attractive compared to neutral or unattractive faces, at 320 ms SOA; identification was improved when T1 was attractive compared to unattractive faces at 640 ms SOA. These findings suggest that the spontaneous appraisal of facial attractiveness modulates temporal attention.

  13. Face Recognition Based on Facial Features

    Directory of Open Access Journals (Sweden)

    Muhammad Sharif

    2012-08-01

    Full Text Available Commencing from the last decade several different methods have been planned and developed in the prospect of face recognition that is one of the chief stimulating zone in the area of image processing. Face recognitions processes have various applications in the prospect of security systems and crime investigation systems. The study is basically comprised of three phases, i.e., face detection, facial features extraction and face recognition. The first phase is the face detection process where region of interest i.e., features region is extracted. The 2nd phase is features extraction. Here face features i.e., eyes, nose and lips are extracted out commencing the extracted face area. The last module is the face recognition phase which makes use of the extracted left eye for the recognition purpose by combining features of Eigenfeatures and Fisherfeatures.

  14. Robust multi-camera view face recognition

    CERN Document Server

    Kisku, Dakshina Ranjan; Gupta, Phalguni; Sing, Jamuna Kanta

    2010-01-01

    This paper presents multi-appearance fusion of Principal Component Analysis (PCA) and generalization of Linear Discriminant Analysis (LDA) for multi-camera view offline face recognition (verification) system. The generalization of LDA has been extended to establish correlations between the face classes in the transformed representation and this is called canonical covariate. The proposed system uses Gabor filter banks for characterization of facial features by spatial frequency, spatial locality and orientation to make compensate to the variations of face instances occurred due to illumination, pose and facial expression changes. Convolution of Gabor filter bank to face images produces Gabor face representations with high dimensional feature vectors. PCA and canonical covariate are then applied on the Gabor face representations to reduce the high dimensional feature spaces into low dimensional Gabor eigenfaces and Gabor canonical faces. Reduced eigenface vector and canonical face vector are fused together usi...

  15. Misaligned and Polarity-Reversed Faces Determine Face-specific Capacity Limits

    Science.gov (United States)

    Thoma, Volker; Ward, Neil; de Fockert, Jan W.

    2016-01-01

    Previous research using flanker paradigms suggests that peripheral distracter faces are automatically processed when participants have to classify a single central familiar target face. These distracter interference effects disappear when the central task contains additional anonymous (non-target) faces that load the search for the face target, but not when the central task contains additional non-face stimuli, suggesting there are face-specific capacity limits in visual processing. Here we tested whether manipulating the format of non-target faces in the search task affected face-specific capacity limits. Experiment 1 replicated earlier findings that a distracter face is processed even in high load conditions when participants looked for a target name of a famous person among additional names (non-targets) in a central search array. Two further experiments show that when targets and non-targets were faces (instead of names), however, distracter interference was eliminated under high load—adding non-target faces to the search array exhausted processing capacity for peripheral faces. The novel finding was that replacing non-target faces with images that consisted of two horizontally misaligned face-parts reduced distracter processing. Similar results were found when the polarity of a non-target face image was reversed. These results indicate that face-specific capacity limits are not determined by the configural properties of face processing, but by face parts. PMID:27729889

  16. Age Dependent Face Recognition using Eigenface

    OpenAIRE

    Hlaing Htake Khaung Tin

    2013-01-01

    Face recognition is the most successful form of human surveillance. Face recognition technology, is being used to improve human efficiency when recognition faces, is one of the fastest growing fields in the biometric industry. In the first stage, the age is classified into eleven categories which distinguish the person oldness in terms of age. In the second stage of the process is face recognition based on the predicted age. Age prediction has considerable potential applications in human comp...

  17. Facing sound – voicing art

    Directory of Open Access Journals (Sweden)

    Ansa Lønstrup

    2013-12-01

    Full Text Available This article is based on examples of contemporary audiovisual art with a primary focus on the Tony Oursler solo exhibition Face to Face in Aarhus Art Museum ARoS, 2012. My investigation involves a combination of qualitative interviews with visitors, observations of the audience’s interactions with the exhibition and the artwork in the museum space, and short analyses of individual works of art based on reception aesthetics, phenomenology, and newer writings on sound, voice and listening. The focus of the investigation is the quality and possible perspectives of the interaction with audiovisual works of art, articulating and sounding out their own ‘voices’. This methodological combination has been chosen to transgress the dichotomy between the aesthetic or hermeneutic artwork ‘text’ analysis and cultural theory, which focuses on the context understood as the framing, the cultural acts and agendas around the aesthetic ‘text’. The article will include experiences with another exhibition, David Lynch: The Air is on Fire (Fondation Cartier pour l’art contemporain, Paris, 2007 and Kunstforeningen Gl. Strand, Copenhagen, 2010- 2011. The two exhibitions are fundamentally different in their integration of sound. My field of interest concerns the exploration of sound as artistic material in audiovisual combinations and those audiovisual works of art that might cause a change in the participatory strategy of the art museum towards the audience.

  18. The improved relative entropy for face recognition

    Directory of Open Access Journals (Sweden)

    Zhang Qi Rong

    2016-01-01

    Full Text Available The relative entropy is least sensitive to noise. In this paper, we propose the improved relative entropy for face recognition (IRE. The IRE method of recognition rate is far higher than the LDA, LPP method, by experimental results on CMU PIE face database and YALE B face database.

  19. Face verification for mobile personal devices

    NARCIS (Netherlands)

    Tao, Qian

    2009-01-01

    In this thesis, we presented a detailed study of the face verification problem on the mobile device, covering every component of the system. The study includes face detection, registration, normalization, and verification. Furthermore, the information fusion problem is studied to verify face sequenc

  20. Sex-contingent face after-effects suggest distinct neural populations code male and female faces.

    Science.gov (United States)

    Little, Anthony C; DeBruine, Lisa M; Jones, Benedict C

    2005-11-01

    Exposure to faces biases perceptions of subsequently viewed faces. Faces similar to those seen previously are judged more normal and attractive than they were prior to exposure. Here we show sex-contingent after-effects following adaptation to eye-spacing (experiment 1), facial identity (experiment 2) and masculinity (experiment 3). Viewing faces of one sex with increased eye-spacing and faces of the other sex with decreased eye-spacing simultaneously induced opposite after-effects for male and female faces (assessed by normality judgments). Viewing faces transformed in identity or masculinity increased preferences for novel faces with characteristics similar to those viewed only when the sex of the faces presented in the adaptation phase and in post-adaptation preference tests were congruent. Because after-effects reflect changes in responses of neural populations that code faces, our findings indicate that distinct neural populations code male and female faces.

  1. The special status of sad infant faces: age and valence differences in adults' cortical face processing.

    Science.gov (United States)

    Colasante, Tyler; Mossad, Sarah I; Dudek, Joanna; Haley, David W

    2016-12-20

    Understanding the relative and joint prioritization of age- and valence-related face characteristics in adults' cortical face processing remains elusive because these two characteristics have not been manipulated in a single study of neural face processing. We used electroencephalography to investigate adults' P1, N170, P2 and LPP responses to infant and adult faces with happy and sad facial expressions. Viewing infant vs adult faces was associated with significantly larger P1, N170, P2 and LPP responses, with hemisphere and/or participant gender moderating this effect in select cases. Sad faces were associated with significantly larger N170 responses than happy faces. Sad infant faces were associated with significantly larger N170 responses in the right hemisphere than all other combinations of face age and face valence characteristics. We discuss the relative and joint neural prioritization of infant face characteristics and negative facial affect, and their biological value as distinct caregiving and social cues.

  2. From Parts to Identity: Invariance and Sensitivity of Face Representations to Different Face Halves.

    Science.gov (United States)

    Anzellotti, Stefano; Caramazza, Alfonso

    2016-05-01

    Recognizing the identity of a face is computationally challenging, because it requires distinguishing between similar images depicting different people, while recognizing even very different images depicting a same person. Previous human fMRI studies investigated representations of face identity in the presence of changes in viewpoint and in expression. Despite the importance of holistic processing for face recognition, an investigation of representations of face identity across different face parts is missing. To fill this gap, we investigated representations of face identity and their invariance across different face halves. Information about face identity with invariance across changes in the face half was individuated in the right anterior temporal lobe, indicating this region as the most plausible candidate brain area for the representation of face identity. In a complementary analysis, information distinguishing between different face halves was found to decline along the posterior to anterior axis in the ventral stream.

  3. What’s in a Face? How Face Gender and Current Affect Influence Perceived Emotion

    Science.gov (United States)

    Harris, Daniel A.; Hayes-Skelton, Sarah A.; Ciaramitaro, Vivian M.

    2016-01-01

    Faces drive our social interactions. A vast literature suggests an interaction between gender and emotional face perception, with studies using different methodologies demonstrating that the gender of a face can affect how emotions are processed. However, how different is our perception of affective male and female faces? Furthermore, how does our current affective state when viewing faces influence our perceptual biases? We presented participants with a series of faces morphed along an emotional continuum from happy to angry. Participants judged each face morph as either happy or angry. We determined each participant’s unique emotional ‘neutral’ point, defined as the face morph judged to be perceived equally happy and angry, separately for male and female faces. We also assessed how current state affect influenced these perceptual neutral points. Our results indicate that, for both male and female participants, the emotional neutral point for male faces is perceptually biased to be happier than for female faces. This bias suggests that more happiness is required to perceive a male face as emotionally neutral, i.e., we are biased to perceive a male face as more negative. Interestingly, we also find that perceptual biases in perceiving female faces are correlated with current mood, such that positive state affect correlates with perceiving female faces as happier, while we find no significant correlation between negative state affect and the perception of facial emotion. Furthermore, we find reaction time biases, with slower responses for angry male faces compared to angry female faces. PMID:27733839

  4. An Approach to Face Recognition of 2-D Images Using Eigen Faces and PCA

    Directory of Open Access Journals (Sweden)

    Annapurna Mishra

    2012-04-01

    Full Text Available Face detection is to find any face in a given image. Face recognition is a two-dimension problem used for detecting faces. The information contained in a face can be analysed automatically by this system like identity, gender, expression, age, race and pose. Normally face detection is done for a single image but it can also be extended for video stream. As the face images are normally upright, they can be described by a small set of 2-D characteristics views. Here the face images are projected to a feature space or face space to encode the variation between the known face images. The projected feature space or the face space can be defined as ‘eigenfaces’ and can be formed by eigenvectors of the face image set. The above process can be used to recognize a new face in unsupervised manner. This paper introduces an algorithm which is used for effective face recognition. It takes into consideration not only the face extraction but also the mathematical calculations which enable us to bring the image into a simple and technical form. It can also be implemented in real-time using data acquisition hardware and software interface with the face recognition systems. Face recognition can be applied to various domains including security systems, personal identification, image and film processing and human computer interaction.

  5. Spatial attention modulates early face processing.

    Science.gov (United States)

    Feng, Wenfeng; Martinez, Antigona; Pitts, Michael; Luo, Yue-Jia; Hillyard, Steven A

    2012-12-01

    It is widely reported that inverting a face dramatically affects its recognition. Previous studies have shown that face inversion increases the amplitude and delays the latency of the face-specific N170 component of the event-related potential (ERP) and also enhances the amplitude of the occipital P1 component (latency 100-132 ms). The present study investigates whether these effects of face inversion can be modulated by visual spatial attention. Participants viewed two streams of visual stimuli, one to the left and one to the right of fixation. One stream consisted of a sequence of alphanumeric characters at 6.67 Hz, and the other stream consisted of a series of upright and inverted images of faces and houses presented in randomized order. The participants' task was to attend selectively to one or the other of the streams (during different blocks) in order to detect infrequent target stimuli. ERPs elicited by inverted faces showed larger P1 amplitudes compared to upright faces, but only when the faces were attended. In contrast, the N170 amplitude was larger to inverted than to upright faces only when the faces were not attended. The N170 peak latency was delayed to inverted faces regardless of attention condition. These inversion effects were face specific, as similar effects were absent for houses. These results suggest that early stages of face-specific processing can be enhanced by attention, but when faces are not attended the onset of face-specific processing is delayed until the latency range of the N170.

  6. Anatomic considerations in the aging face.

    Science.gov (United States)

    Zoumalan, Richard A; Larrabee, Wayne F

    2011-02-01

    A thorough knowledge of the anatomy of the aging face is essential to a safe and effective operation. Over time, the face undergoes changes in skin and subcutaneous tissues evidenced by rhytides and thinning. There are also changes in the tone and character of facial muscles. Changes in fat structures in the face cause aesthetic changes that can be addressed surgically. Knowledge of the anatomy of the face and neck will aid in understanding the changes that occur with aging and will allow for a more complete strategy in rejuvenating the aging face.

  7. Traditional facial tattoos disrupt face recognition processes.

    Science.gov (United States)

    Buttle, Heather; East, Julie

    2010-01-01

    Factors that are important to successful face recognition, such as features, configuration, and pigmentation/reflectance, are all subject to change when a face has been engraved with ink markings. Here we show that the application of facial tattoos, in the form of spiral patterns (typically associated with the Maori tradition of a Moko), disrupts face recognition to a similar extent as face inversion, with recognition accuracy little better than chance performance (2AFC). These results indicate that facial tattoos can severely disrupt our ability to recognise a face that previously did not have the pattern.

  8. Prosopagnosia when all faces look the same

    CERN Document Server

    Rivolta, Davide

    2014-01-01

    This book provides readers with a simplified and comprehensive account of the cognitive and neural bases of face perception in humans. Faces are ubiquitous in our environment and we rely on them during social interactions. The human face processing system allows us to extract information about the identity, gender, age, mood, race, attractiveness and approachability of other people in about a fraction of a second, just by glancing at their faces.  By introducing readers to the most relevant research on face recognition, this book seeks to answer the questions: “Why are humans so fast at recognizing faces?”, “Why are humans so efficient at recognizing faces?”, “Do faces represent a particular category for the human visual system?”, What makes face perception in humans so special?, “Can our face recognition system fail”?  This book presents the author’s findings on face perception during his research studies on both normal subjects and subjects with prosopagnosia, a neurological disorder cha...

  9. The hierarchical brain network for face recognition.

    Science.gov (United States)

    Zhen, Zonglei; Fang, Huizhen; Liu, Jia

    2013-01-01

    Numerous functional magnetic resonance imaging (fMRI) studies have identified multiple cortical regions that are involved in face processing in the human brain. However, few studies have characterized the face-processing network as a functioning whole. In this study, we used fMRI to identify face-selective regions in the entire brain and then explore the hierarchical structure of the face-processing network by analyzing functional connectivity among these regions. We identified twenty-five regions mainly in the occipital, temporal and frontal cortex that showed a reliable response selective to faces (versus objects) across participants and across scan sessions. Furthermore, these regions were clustered into three relatively independent sub-networks in a face-recognition task on the basis of the strength of functional connectivity among them. The functionality of the sub-networks likely corresponds to the recognition of individual identity, retrieval of semantic knowledge and representation of emotional information. Interestingly, when the task was switched to object recognition from face recognition, the functional connectivity between the inferior occipital gyrus and the rest of the face-selective regions were significantly reduced, suggesting that this region may serve as an entry node in the face-processing network. In sum, our study provides empirical evidence for cognitive and neural models of face recognition and helps elucidate the neural mechanisms underlying face recognition at the network level.

  10. A Multi—View Face Recognition System

    Institute of Scientific and Technical Information of China (English)

    张永越; 彭振云; 等

    1997-01-01

    In many automatic face recognition systems,posture constraining is a key factor preventing them from application.In this paper a series of strategies will be described to achieve a system which enables face recognition under varying pose.These approaches include the multi-view face modeling,the threschold image based face feature detection,the affine transformation based face posture normalization and the template matching based face identification.Combining all of these strategies,a face recognition system with the pose invariance is designed successfully,Using a 75MHZ Pentium PC and with a database of 75 individuals,15 images for each person,and 225 test images with various postures,a very good recognition rate of 96.89% is obtained.

  11. Face Recognition using Eigenfaces and Neural Networks

    Directory of Open Access Journals (Sweden)

    Mohamed Rizon

    2006-01-01

    Full Text Available In this study, we develop a computational model to identify the face of an unknown person’s by applying eigenfaces. The eigenfaces has been applied to extract the basic face of the human face images. The eigenfaces is then projecting onto human faces to identify unique features vectors. This significant features vector can be used to identify an unknown face by using the backpropagation neural network that utilized euclidean distance for classification and recognition. The ORL database for this investigation consists of 40 people with various 400 face images had been used for the learning. The eigenfaces including implemented Jacobi’s method for eigenvalues and eigenvectors has been performed. The classification and recognition using backpropagation neural network showed impressive positive result to classify face images.

  12. Aging and attentional biases for emotional faces.

    Science.gov (United States)

    Mather, Mara; Carstensen, Laura L

    2003-09-01

    We examined age differences in attention to and memory for faces expressing sadness, anger, and happiness. Participants saw a pair of faces, one emotional and one neutral, and then a dot probe that appeared in the location of one of the faces. In two experiments, older adults responded faster to the dot if it was presented on the same side as a neutral face than if it was presented on the same side as a negative face. Younger adults did not exhibit this attentional bias. Interactions of age and valence were also found for memory for the faces, with older adults remembering positive better than negative faces. These findings reveal that in their initial attention, older adults avoid negative information. This attentional bias is consistent with older adults' generally better emotional well-being and their tendency to remember negative less well than positive information.

  13. Processing of emotional faces in social phobia

    Directory of Open Access Journals (Sweden)

    Nicole Kristjansen Rosenberg

    2011-02-01

    Full Text Available Previous research has found that individuals with social phobia differ from controls in their processing of emotional faces. For instance, people with social phobia show increased attention to briefly presented threatening faces. However, when exposure times are increased, the direction of this attentional bias is more unclear. Studies investigating eye movements have found both increased as well as decreased attention to threatening faces in socially anxious participants. The current study investigated eye movements to emotional faces in eight patients with social phobia and 34 controls. Three different tasks with different exposure durations were used, which allowed for an investigation of the time course of attention. At the early time interval, patients showed a complex pattern of both vigilance and avoidance of threatening faces. At the longest time interval, patients avoided the eyes of sad, disgust, and neutral faces more than controls, whereas there were no group differences for angry faces.

  14. Extraversion predicts individual differences in face recognition.

    Science.gov (United States)

    Li, Jingguang; Tian, Moqian; Fang, Huizhen; Xu, Miao; Li, He; Liu, Jia

    2010-07-01

    In daily life, one of the most common social tasks we perform is to recognize faces. However, the relation between face recognition ability and social activities is largely unknown. Here we ask whether individuals with better social skills are also better at recognizing faces. We found that extraverts who have better social skills correctly recognized more faces than introverts. However, this advantage was absent when extraverts were asked to recognize non-social stimuli (e.g., flowers). In particular, the underlying facet that makes extraverts better face recognizers is the gregariousness facet that measures the degree of inter-personal interaction. In addition, the link between extraversion and face recognition ability was independent of general cognitive abilities. These findings provide the first evidence that links face recognition ability to our daily activity in social communication, supporting the hypothesis that extraverts are better at decoding social information than introverts.

  15. Culture shapes how we look at faces.

    Directory of Open Access Journals (Sweden)

    Caroline Blais

    Full Text Available BACKGROUND: Face processing, amongst many basic visual skills, is thought to be invariant across all humans. From as early as 1965, studies of eye movements have consistently revealed a systematic triangular sequence of fixations over the eyes and the mouth, suggesting that faces elicit a universal, biologically-determined information extraction pattern. METHODOLOGY/PRINCIPAL FINDINGS: Here we monitored the eye movements of Western Caucasian and East Asian observers while they learned, recognized, and categorized by race Western Caucasian and East Asian faces. Western Caucasian observers reproduced a scattered triangular pattern of fixations for faces of both races and across tasks. Contrary to intuition, East Asian observers focused more on the central region of the face. CONCLUSIONS/SIGNIFICANCE: These results demonstrate that face processing can no longer be considered as arising from a universal series of perceptual events. The strategy employed to extract visual information from faces differs across cultures.

  16. The activation of visual face memory and explicit face recognition are delayed in developmental prosopagnosia.

    Science.gov (United States)

    Parketny, Joanna; Towler, John; Eimer, Martin

    2015-08-01

    Individuals with developmental prosopagnosia (DP) are strongly impaired in recognizing faces, but the causes of this deficit are not well understood. We employed event-related brain potentials (ERPs) to study the time-course of neural processes involved in the recognition of previously unfamiliar faces in DPs and in age-matched control participants with normal face recognition abilities. Faces of different individuals were presented sequentially in one of three possible views, and participants had to detect a specific Target Face ("Joe"). EEG was recorded during task performance to Target Faces, Nontarget Faces, or the participants' Own Face (which had to be ignored). The N250 component was measured as a marker of the match between a seen face and a stored representation in visual face memory. The subsequent P600f was measured as an index of attentional processes associated with the conscious awareness and recognition of a particular face. Target Faces elicited reliable N250 and P600f in the DP group, but both of these components emerged later in DPs than in control participants. This shows that the activation of visual face memory for previously unknown learned faces and the subsequent attentional processing and conscious recognition of these faces are delayed in DP. N250 and P600f components to Own Faces did not differ between the two groups, indicating that the processing of long-term familiar faces is less affected in DP. However, P600f components to Own Faces were absent in two participants with DP who failed to recognize their Own Face during the experiment. These results provide new evidence that face recognition deficits in DP may be linked to a delayed activation of visual face memory and explicit identity recognition mechanisms.

  17. Face to Face or E-Learning in Turkish EFL Context

    Science.gov (United States)

    Solak, Ekrem; Cakir, Recep

    2014-01-01

    This purpose of this study was to understand e-learners and face to face learners' views towards learning English through e-learning in vocational higher school context and to determine the role of academic achievement and gender in e-learning and face to face learning. This study was conducted at a state-run university in 2012-2013 academic year…

  18. Examining the Roles of the Facilitator in Online and Face-to-Face PD Contexts

    Science.gov (United States)

    Park, Gina; Johnson, Heather; Vath, Richard; Kubitskey, Beth; Fishman, Barry

    2013-01-01

    Online teacher professional development has become an alternative to face-to-face professional development. Such a shift from face-to-face to online professional development, however, brings new challenges for professional development facilitators, whose roles are crucial in orchestrating teacher learning. This paper is motivated by the need to…

  19. Why Use the Online Environment with Face-to-Face Students? Insights from Early Adopters.

    Science.gov (United States)

    Bunker, Alison; Vardi, Iris

    This study illustrates the convergence of two teaching and learning media, face-to-face and online, as reflective lecturers seek to address the limitations of a single medium. Innovative university lecturers at a large Western Australia university were interviewed about their use of online environments with face-to-face students. The interview…

  20. Can Face-to-Face Mobilization Boost Student Voter Turnout? Results of a Campus Field Experiment

    Science.gov (United States)

    Hill, David; Lachelier, Paul

    2014-01-01

    American colleges and universities have an expanding role to play in nurturing political engagement as more youth attend college. Given low voter turnout among college students yet growing experimental evidence that face-to-face mobilization can boost turnout, the experiment reported in this article examined the impact of a face-to-face college…

  1. The Use of Computer-Mediated Communication To Enhance Subsequent Face-to-Face Discussions.

    Science.gov (United States)

    Dietz-Uhler, Beth; Bishop-Clark, Cathy

    2001-01-01

    Describes a study of undergraduate students that assessed the effects of synchronous (Internet chat) and asynchronous (Internet discussion board) computer-mediated communication on subsequent face-to-face discussions. Results showed that face-to-face discussions preceded by computer-mediated communication were perceived to be more enjoyable.…

  2. An Approach to Face Recognition of 2-D Images Using Eigen Faces and PCA

    Directory of Open Access Journals (Sweden)

    Annapurna Mishra

    2012-05-01

    Full Text Available Face detection is to find any face in a given image. Face recognition is a two-dimension problem used fordetecting faces. The information contained in a face can be analysed automatically by this system likeidentity, gender, expression, age, race and pose. Normally face detection is done for a single image but itcan also be extended for video stream. As the face images are normally upright, they can be described by asmall set of 2-D characteristics views. Here the face images are projected to a feature space or face spaceto encode the variation between the known face images. The projected feature space or the face space canbe defined as ‘eigenfaces’ and can be formed by eigenvectors of the face image set. The above process canbe used to recognize a new face in unsupervised manner. This paper introduces an algorithm which is usedfor effective face recognition. It takes into consideration not only the face extraction but also themathematical calculations which enable us to bring the image into a simple and technical form. It can alsobe implemented in real-time using data acquisition hardware and software interface with the facerecognition systems. Face recognition can be applied to various domains including security systems,personal identification, image and film processing and human computer interaction.

  3. Moodle: A Way for Blending VLE and Face-to-Face Instruction in the ELT Context?

    Science.gov (United States)

    Ilin, Gulden

    2013-01-01

    This classroom research explores the probable consequences of a blended Teaching English to Young Learners (TEYLs) course comprised of Moodle applications and face to face instruction in the English Language Teaching (ELT) context. Contrary to previous face to face only procedure, the course was divided into two segments: traditional classroom…

  4. The Impact of Face-to-Face Orientation on Online Retention: A Pilot Study

    Science.gov (United States)

    Ali, Radwan; Leeds, Elke M.

    2009-01-01

    Student retention in online education is a concern for students, faculty and administration. Retention rates are 20% lower in online courses than in traditional face-to-face courses. As part of an integration and engagement strategy, a face-to-face orientation was added to an online undergraduate business information systems course to examine its…

  5. Web-Based vs. Face-to-Face MBA Classes: A Comparative Assessment Study

    Science.gov (United States)

    Brownstein, Barry; Brownstein, Deborah; Gerlowski, Daniel A.

    2008-01-01

    The challenges of online learning include ensuring that the learning outcomes are at least as robust as in the face-to-face sections of the same course. At the University of Baltimore, both online sections and face-to-face sections of core MBA courses are offered. Once admitted to the MBA, students are free to enroll in any combination of…

  6. Face Synthesis (FASY) System for Determining the Characteristics of a Face Image

    CERN Document Server

    Halder, Santanu; Nasipuri, Mita; Basu, Dipak Kumar; Kundu, Mahantapas

    2010-01-01

    This paper aims at determining the characteristics of a face image by extracting its components. The FASY (FAce SYnthesis) System is a Face Database Retrieval and new Face generation System that is under development. One of its main features is the generation of the requested face when it is not found in the existing database, which allows a continuous growing of the database also. To generate the new face image, we need to store the face components in the database. So we have designed a new technique to extract the face components by a sophisticated method. After extraction of the facial feature points we have analyzed the components to determine their characteristics. After extraction and analysis we have stored the components along with their characteristics into the face database for later use during the face construction.

  7. Face Synthesis (FASY) System for Generation of a Face Image from Human Description

    CERN Document Server

    Halder, Santanu; Nasipuri, Mita; Basu, Dipak Kumar; Kundu, Mahantapas

    2010-01-01

    This paper aims at generating a new face based on the human like description using a new concept. The FASY (FAce SYnthesis) System is a Face Database Retrieval and new Face generation System that is under development. One of its main features is the generation of the requested face when it is not found in the existing database, which allows a continuous growing of the database also.

  8. Anger Superiority in Single-Face Judgements

    Directory of Open Access Journals (Sweden)

    Hiroshi Ashida

    2011-05-01

    Full Text Available We investigated “anger superiority” in single-face judgements. Angry, or threatening, faces are easier to find than smiling ones (Hansen & Hansen, 1988 but it remains controversial whether this reflects emotional effects on the basis of the whole face or rather perceptual effects on the basis of parts. We sought this question differently from most previous studies that used the visual search paradigm. We presented a picture of angry, smiling, or neutral face (extracted from ATR DB99 database that has been confirmed for emotional strength either to the left or to the right of the fixation mark, which was followed by a mask, and the participants were asked to make a forced-choice judgement of anger or smile. The results showed that neutral faces were significantly biased towards anger with upright presentation but not with inverted presentation. Angry and smiling faces were judged equally well with upright presentation, while there was notable reduction of correct responses only for angry face with inverted presentation. Difference between hemifields was not clear. The results suggest that angry faces are judged on the basis of configural processing of the whole face, while smiling faces may be judged more locally on the basis of parts.

  9. Face-to-face or Face-to-screen? Undergraduates’ opinions and test performance in classroom versus online learning

    Directory of Open Access Journals (Sweden)

    Nenagh eKemp

    2014-11-01

    Full Text Available As electronic communication becomes increasingly common, and as students juggle study, work, and family life, many universities are offering their students more flexible learning opportunities. Classes once delivered face-to-face are often replaced by online activities and discussions. However, there is little research comparing students’ experience and learning in these two modalities. The aim of this study was to compare undergraduates’ preference for, and academic performance on, class material and assessment presented online versus in traditional classrooms. Psychology students (N = 71 at an Australian university completed written exercises, a class discussion, and a written test on two academic topics. The activities for one topic were conducted face-to-face, and the other online, with topics counterbalanced across two groups. The results showed that students preferred to complete activities face-to-face rather than online, but there was no significant difference in their test performance in the two modalities. In their written responses, students expressed a strong preference for class discussions to be conducted face-to-face, reporting that they felt more engaged, and received more immediate feedback, than in online discussion. A follow-up study with a separate group confirmed that although students appreciated the convenience of completing written activities online in their own time, they also strongly preferred to discuss course content with peers in the classroom rather than online. It is concluded that online and face-to-face activities can lead to similar levels of academic performance, but that students would rather do written activities online but engage in discussion in person. Course developers could aim to structure classes so that students can benefit from both the flexibility of online learning, and the greater engagement experienced in face-to-face discussion.

  10. Dissociation between face perception and face memory in adults, but not children, with developmental prosopagnosia

    Directory of Open Access Journals (Sweden)

    Kirsten A. Dalrymple

    2014-10-01

    Full Text Available Cognitive models propose that face recognition is accomplished through a series of discrete stages, including perceptual representation of facial structure, and encoding and retrieval of facial information. This implies that impaired face recognition can result from failures of face perception, face memory, or both. Studies of acquired prosopagnosia, autism spectrum disorders, and the development of normal face recognition support the idea that face perception and face memory are distinct processes, yet this distinction has received little attention in developmental prosopagnosia (DP. To address this issue, we tested the face perception and face memory of children and adults with DP. By definition, face memory is impaired in DP, so memory deficits were present in all participants. However, we found that all children, but only half of the adults had impaired face perception. Thus, results from adults indicate that face perception and face memory are dissociable, while the results from children provide no evidence for this division. Importantly, our findings raise the possibility that DP is qualitatively different in childhood versus adulthood. We discuss theoretical explanations for this developmental pattern and conclude that longitudinal studies are necessary to better understand the developmental trajectory of face perception and face memory deficits in DP.

  11. Dissociation between face perception and face memory in adults, but not children, with developmental prosopagnosia.

    Science.gov (United States)

    Dalrymple, Kirsten A; Garrido, Lúcia; Duchaine, Brad

    2014-10-01

    Cognitive models propose that face recognition is accomplished through a series of discrete stages, including perceptual representation of facial structure, and encoding and retrieval of facial information. This implies that impaired face recognition can result from failures of face perception, face memory, or both. Studies of acquired prosopagnosia, autism spectrum disorders, and the development of normal face recognition support the idea that face perception and face memory are distinct processes, yet this distinction has received little attention in developmental prosopagnosia (DP). To address this issue, we tested the face perception and face memory of children and adults with DP. By definition, face memory is impaired in DP, so memory deficits were present in all participants. However, we found that all children, but only half of the adults had impaired face perception. Thus, results from adults indicate that face perception and face memory are dissociable, while the results from children provide no evidence for this division. Importantly, our findings raise the possibility that DP is qualitatively different in childhood versus adulthood. We discuss theoretical explanations for this developmental pattern and conclude that longitudinal studies are necessary to better understand the developmental trajectory of face perception and face memory deficits in DP.

  12. Self-face recognition in social context.

    Science.gov (United States)

    Sugiura, Motoaki; Sassa, Yuko; Jeong, Hyeonjeong; Wakusawa, Keisuke; Horie, Kaoru; Sato, Shigeru; Kawashima, Ryuta

    2012-06-01

    The concept of "social self" is often described as a representation of the self-reflected in the eyes or minds of others. Although the appearance of one's own face has substantial social significance for humans, neuroimaging studies have failed to link self-face recognition and the likely neural substrate of the social self, the medial prefrontal cortex (MPFC). We assumed that the social self is recruited during self-face recognition under a rich social context where multiple other faces are available for comparison of social values. Using functional magnetic resonance imaging (fMRI), we examined the modulation of neural responses to the faces of the self and of a close friend in a social context. We identified an enhanced response in the ventral MPFC and right occipitoparietal sulcus in the social context specifically for the self-face. Neural response in the right lateral parietal and inferior temporal cortices, previously claimed as self-face-specific, was unaffected for the self-face but unexpectedly enhanced for the friend's face in the social context. Self-face-specific activation in the pars triangularis of the inferior frontal gyrus, and self-face-specific reduction of activation in the left middle temporal gyrus and the right supramarginal gyrus, replicating a previous finding, were not subject to such modulation. Our results thus demonstrated the recruitment of a social self during self-face recognition in the social context. At least three brain networks for self-face-specific activation may be dissociated by different patterns of response-modulation in the social context, suggesting multiple dynamic self-other representations in the human brain.

  13. South Africa faces coke shortage

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-05-01

    Iscor Vanderbijlpark in South Africa may need to import substantial tonnages of coking coal as a result of increasing quality demands on coke at Vanderbiljpark (to support the recently installed PCI process) as well as the Newcastle works. Availability of coke is not only a problem for the South African steel industry but is a global problem as the production of coke in Western countries has declined over the past three years. A massive expansion in coke-making capacity is happening in China but the Chinese beehive ovens create serious pollution problems. A world shortage of coke of 30 million t/y by 2005 is estimated, rising to over 60 million t/y by 2010 of no new capacity is created. Steelmakers have succeeded in reducing their consumption of coke, by pulverised coal injection by better distribution of components in the furnace shaft and by decline in use of the blast furnace-basic oxygen furnace route, but the industry is still facing serious shortages of coke.

  14. Digital 'faces' of synthetic biology.

    Science.gov (United States)

    Friedrich, Kathrin

    2013-06-01

    In silicio design plays a fundamental role in the endeavour to synthesise biological systems. In particular, computer-aided design software enables users to manage the complexity of biological entities that is connected to their construction and reconfiguration. The software's graphical user interface bridges the gap between the machine-readable data on the algorithmic subface of the computer and its human-amenable surface represented by standardised diagrammatic elements. Notations like the Systems Biology Graphical Notation (SBGN), together with interactive operations such as drag & drop, allow the user to visually design and simulate synthetic systems as 'bio-algorithmic signs'. Finally, the digital programming process should be extended to the wet lab to manufacture the designed synthetic biological systems. By exploring the different 'faces' of synthetic biology, I argue that in particular computer-aided design (CAD) is pushing the idea to automatically produce de novo objects. Multifaceted software processes serve mutually aesthetic, epistemic and performative purposes by simultaneously black-boxing and bridging different data sources, experimental operations and community-wide standards. So far, synthetic biology is mainly a product of digital media technologies that structurally mimic the epistemological challenge to take both qualitative as well as quantitative aspects of biological systems into account in order to understand and produce new and functional entities.

  15. The new face of innovation

    Science.gov (United States)

    Bloch, Erich

    2000-05-01

    The rapid changes in technology, the changes in the national and global economy and the emergence of many new nations that acquire an increasing competence to innovate is presenting us with new issues and opportunities. In particular, it affects the innovation system of the country, namely the scientific and technological infrastructure, the workforce and the policy environment in which government, industry, and academia operates. From a sequential or serial model we are moving or have moved to a dynamic, interactive one that encompasses more stakeholders in a realtime way. Of late, the work of the Council on Competitiveness has focused on the capacity for innovation as a pre-requisite for national competitiveness. This talk will discuss the results from its report "Going Global: The New Shape of American Innovation" and its "Findings from the Innovation Index" and assess the forces that affect the future. The main conclusion will be that the changes we have and will be facing are irreversible and require the active and positive participation of the technical professional and technical institutions. It also requires new relationships between the main participants of the innovation system.

  16. CHALLENGES FACING THE ESP PRACTITIONER

    Directory of Open Access Journals (Sweden)

    SIMION MINODORA OTILIA

    2015-12-01

    Full Text Available The ESP teacher has to face certain challenges in his profession: One of the biggest challenges of the ESP teacher is the fact that he/she lacks the necessary knowledge of the subject to teach Business English, for instance, some researchers believing that such courses should be taught by subject teachers. The task of teaching ESP by ESL teachers is not an easy one. Dudley- Evans and St. John pointed out its complexity, identifying five key roles of the ESP practitioner: teacher, course designer and materials provider, collaborator, researcher and evaluator and this is probably the biggest challenge of the profession. The ESP practitioner has also to be aware of the fact that using a foreign language for workplace or study purposes requires not only linguistic proficiency and knowledge but also knowledge of work –related and disciplinary concepts.Last but not least, another challenge for the ESP practitioner is the use of technology in class, a valuable tool for helping with traditional forms of teaching and for creating new forms of communicating.Thus, the ESP practitioner has many things in common with the teacher of general English: he has to be familiar with linguistic development and teaching theories ,he has to be aware of contemporary ideas related to his position and role and he has to become familiar with the new technologies which can be used to improve his methodology.However,his role is more complex than that of a General English teacher.

  17. Robust Face Recognition through Local Graph Matching

    Directory of Open Access Journals (Sweden)

    Ehsan Fazl-Ersi

    2007-09-01

    Full Text Available A novel face recognition method is proposed, in which face images are represented by a set of local labeled graphs, each containing information about the appearance and geometry of a 3-tuple of face feature points, extracted using Local Feature Analysis (LFA technique. Our method automatically learns a model set and builds a graph space for each individual. A two-stage method for optimal matching between the graphs extracted from a probe image and the trained model graphs is proposed. The recognition of each probe face image is performed by assigning it to the trained individual with the maximum number of references. Our approach achieves perfect result on the ORL face set and an accuracy rate of 98.4% on the FERET face set, which shows the superiority of our method over all considered state-of-the-art methods. I

  18. Multiple Face Location Using Motion Information

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Face location is a difficult problem for face recognition and multiple face location is more challenging. In this paper, two new methods are presented for multiple face location via motion analysis techniques. The first method is based on motion segmentation. The authors introduce a new segmentation method by computing optical flow only on the Motion Zero-Crossing Boundary (MZCB) followed by a simple clustering method to segment each person. Then an intuitive but effective location algorithm is applied to locate each face. The second method is derived from the Hough Transform (HT). After modeling a head outline as a curve consisting of circle segments, a modified HT is used to find the center of each face. Finally, the two methods are compared and the future research directions are given.

  19. Cyberbullying: the new face of workplace bullying?

    Science.gov (United States)

    Privitera, Carmel; Campbell, Marilyn Anne

    2009-08-01

    While the subject of cyberbullying of children and adolescents has begun to be addressed, less attention and research have focused on cyberbullying in the workplace. Male-dominated workplaces such as manufacturing settings are found to have an increased risk of workplace bullying, but the prevalence of cyberbullying in this sector is not known. This exploratory study investigated the prevalence and methods of face-to-face bullying and cyberbullying of males at work. One hundred three surveys (a modified version of the revised Negative Acts Questionnaire [NAQ-R]) were returned from randomly selected members of the Australian Manufacturing Workers' Union (AMWU). The results showed that 34% of respondents were bullied face-to-face, and 10.7% were cyberbullied. All victims of cyberbullying also experienced face-to-face bullying. The implications for organizations' "duty of care" in regard to this new form of bullying are indicated.

  20. Real-time, face recognition technology

    Energy Technology Data Exchange (ETDEWEB)

    Brady, S.

    1995-11-01

    The Institute for Scientific Computing Research (ISCR) at Lawrence Livermore National Laboratory recently developed the real-time, face recognition technology KEN. KEN uses novel imaging devices such as silicon retinas developed at Caltech or off-the-shelf CCD cameras to acquire images of a face and to compare them to a database of known faces in a robust fashion. The KEN-Online project makes that recognition technology accessible through the World Wide Web (WWW), an internet service that has recently seen explosive growth. A WWW client can submit face images, add them to the database of known faces and submit other pictures that the system tries to recognize. KEN-Online serves to evaluate the recognition technology and grow a large face database. KEN-Online includes the use of public domain tools such as mSQL for its name-database and perl scripts to assist the uploading of images.

  1. Face Recognition in Real-world Images

    OpenAIRE

    Fontaine, Xavier; Achanta, Radhakrishna; Süsstrunk, Sabine

    2017-01-01

    Face recognition systems are designed to handle well-aligned images captured under controlled situations. However real-world images present varying orientations, expressions, and illumination conditions. Traditional face recognition algorithms perform poorly on such images. In this paper we present a method for face recognition adapted to real-world conditions that can be trained using very few training examples and is computationally efficient. Our method consists of performing a novel align...

  2. Investigation of New Techniques for Face detection

    OpenAIRE

    Abdallah, Abdallah Sabry

    2007-01-01

    The task of detecting human faces within either a still image or a video frame is one of the most popular object detection problems. For the last twenty years researchers have shown great interest in this problem because it is an essential pre-processing stage for computing systems that process human faces as input data. Example applications include face recognition systems, vision systems for autonomous robots, human computer interaction systems (HCI), surveillance systems, biometric based a...

  3. Contextual modulation of biases in face recognition.

    Directory of Open Access Journals (Sweden)

    Fatima Maria Felisberti

    Full Text Available BACKGROUND: The ability to recognize the faces of potential cooperators and cheaters is fundamental to social exchanges, given that cooperation for mutual benefit is expected. Studies addressing biases in face recognition have so far proved inconclusive, with reports of biases towards faces of cheaters, biases towards faces of cooperators, or no biases at all. This study attempts to uncover possible causes underlying such discrepancies. METHODOLOGY AND FINDINGS: Four experiments were designed to investigate biases in face recognition during social exchanges when behavioral descriptors (prosocial, antisocial or neutral embedded in different scenarios were tagged to faces during memorization. Face recognition, measured as accuracy and response latency, was tested with modified yes-no, forced-choice and recall tasks (N = 174. An enhanced recognition of faces tagged with prosocial descriptors was observed when the encoding scenario involved financial transactions and the rules of the social contract were not explicit (experiments 1 and 2. Such bias was eliminated or attenuated by making participants explicitly aware of "cooperative", "cheating" and "neutral/indifferent" behaviors via a pre-test questionnaire and then adding such tags to behavioral descriptors (experiment 3. Further, in a social judgment scenario with descriptors of salient moral behaviors, recognition of antisocial and prosocial faces was similar, but significantly better than neutral faces (experiment 4. CONCLUSION: The results highlight the relevance of descriptors and scenarios of social exchange in face recognition, when the frequency of prosocial and antisocial individuals in a group is similar. Recognition biases towards prosocial faces emerged when descriptors did not state the rules of a social contract or the moral status of a behavior, and they point to the existence of broad and flexible cognitive abilities finely tuned to minor changes in social context.

  4. Personality judgments from everyday images of faces

    OpenAIRE

    Clare AM Sutherland; Rowley, Lauren E.; Unity T Amoaku; Ella eDaguzan; Kidd-Rossiter, Kate A.; Ugne eMaceviciute; Young, Andrew W.

    2015-01-01

    People readily make personality attributions to images of strangers’ faces. Here we investigated the basis of these personality attributions as made to everyday, naturalistic face images. In a first study, we used 1,000 highly varying ‘ambient image’ face photographs to test the correspondence between personality judgments of the Big Five and dimensions known to underlie a range of facial first impressions: approachability, dominance and youthful-attractiveness. Interestingly, the facial Big ...

  5. Improving Face Detection with TOE Cameras

    DEFF Research Database (Denmark)

    Hansen, Dan Witzner; Larsen, Rasmus; Lauze, F

    2007-01-01

    A face detection method based on a boosted classifier using images from a time-of-flight sensor is presented. We show that the performance of face detection can be improved when using both depth and gray scale images and that the common use of integration of hypotheses for verification can...... be relaxed. Based on the detected face we employ an active contour method on depth images for full head segmentation....

  6. DWT BASED HMM FOR FACE RECOGNITION

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    A novel Discrete Wavelet Transform (DWT) based Hidden Markov Module (HMM) for face recognition is presented in this letter. To improve the accuracy of HMM based face recognition algorithm, DWT is used to replace Discrete Cosine Transform (DCT) for observation sequence extraction. Extensive experiments are conducted on two public databases and the results show that the proposed method can improve the accuracy significantly, especially when the face database is large and only few training images are available.

  7. Personality judgments from everyday images of faces

    OpenAIRE

    Clare AM Sutherland; Lauren E Rowley; Unity T Amoaku; Ella eDaguzan; Kate A Kidd-Rossiter; Ugne eMaceviciute; Andrew W Young

    2015-01-01

    People readily make personality attributions to images of strangers' faces. Here we investigated the basis of these personality attributions as made to everyday, naturalistic face images. In a first study, we used 1000 highly varying “ambient image” face photographs to test the correspondence between personality judgments of the Big Five and dimensions known to underlie a range of facial first impressions: approachability, dominance, and youthful-attractiveness. Interestingly, the facial Big ...

  8. Nation, Face, and Identity: An Initial Investigation of National Face in East Asia

    Science.gov (United States)

    Chen, Rong; Hwang, Kwang-Kuo

    2016-01-01

    This research investigates a key concept in East Asia, face, and represents the first attempt to empirically examine the concept of face at the national level. Controlling for the level of national identification, Study 1 employed the scenario experiment method among samples of native Chinese and Taiwanese populations and revealed that national face exhibits patterns reverse of personal face. Using the experimental method, Study 2 replicated the findings of Study 1 and provided support for the different mechanisms underneath national face and personal face. Study 3 replicated the findings of Study 2 and additionally showed that national face exerts a significant inhibitory effect on face process. Findings are discussed in terms of possible implications for intergroup and international relations. Expanding on extant scholarship on face and across three studies with different experimental paradigms, this research turns our attention from face at the personal level to face at the national level by introducing the construct of national face and examining its manifestations in East Asia. The results advance our understanding of the psychological mechanism driving face concern in East Asia. They make a strong and unique case for the psychological existence of national face as an empirically distinct construct and an important psychological resource for East Asians. PMID:27774081

  9. The fusiform face area is engaged in holistic, not parts-based, representation of faces.

    Directory of Open Access Journals (Sweden)

    Jiedong Zhang

    Full Text Available Numerous studies with functional magnetic resonance imaging have shown that the fusiform face area (FFA in the human brain plays a key role in face perception. Recent studies have found that both the featural information of faces (e.g., eyes, nose, and mouth and the configural information of faces (i.e., spatial relation among features are encoded in the FFA. However, little is known about whether the featural information is encoded independent of or combined with the configural information in the FFA. Here we used multi-voxel pattern analysis to examine holistic representation of faces in the FFA by correlating spatial patterns of activation with behavioral performance in discriminating face parts with face configurations either present or absent. Behaviorally, the absence of face configurations (versus presence impaired discrimination of face parts, suggesting a holistic representation in the brain. Neurally, spatial patterns of activation in the FFA were more similar among correct than incorrect trials only when face parts were presented in a veridical face configuration. In contrast, spatial patterns of activation in the occipital face area, as well as the object-selective lateral occipital complex, were more similar among correct than incorrect trials regardless of the presence of veridical face configurations. This finding suggests that in the FFA faces are represented not on the basis of individual parts but in terms of the whole that emerges from the parts.

  10. Neural Correlate of the Thatcher Face Illusion in a Monkey Face-Selective Patch.

    Science.gov (United States)

    Taubert, Jessica; Van Belle, Goedele; Vanduffel, Wim; Rossion, Bruno; Vogels, Rufin

    2015-07-01

    Compelling evidence that our sensitivity to facial structure is conserved across the primate order comes from studies of the "Thatcher face illusion": humans and monkeys notice changes in the orientation of facial features (e.g., the eyes) only when faces are upright, not when faces are upside down. Although it is presumed that face perception in primates depends on face-selective neurons in the inferior temporal (IT) cortex, it is not known whether these neurons respond differentially to upright faces with inverted features. Using microelectrodes guided by functional MRI mapping, we recorded cell responses in three regions of monkey IT cortex. We report an interaction in the middle lateral face patch (ML) between the global orientation of a face and the local orientation of its eyes, a response profile consistent with the perception of the Thatcher illusion. This increased sensitivity to eye orientation in upright faces resisted changes in screen location and was not found among face-selective neurons in other areas of IT cortex, including neurons in another face-selective region, the anterior lateral face patch. We conclude that the Thatcher face illusion is correlated with a pattern of activity in the ML that encodes faces according to a flexible holistic template.

  11. Face Recognition Using Kernel Discriminant Analysis

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Linear Discrimiant Analysis (LDA) has demonstrated their success in face recognition. But LDA is difficult to handle the high nonlinear problems, such as changes of large viewpoint and illumination in face recognition. In order to overcome these problems, we investigate Kernel Discriminant Analysis (KDA) for face recognition. This approach adopts the kernel functions to replace the dot products of nonlinear mapping in the high dimensional feature space, and then the nonlinear problem can be solved in the input space conveniently without explicit mapping. Two face databases are used to test KDA approach. The results show that our approach outperforms the conventional PCA(Eigenface) and LDA(Fisherface) approaches.

  12. 3D face modeling, analysis and recognition

    CERN Document Server

    Daoudi, Mohamed; Veltkamp, Remco

    2013-01-01

    3D Face Modeling, Analysis and Recognition presents methodologies for analyzing shapes of facial surfaces, develops computational tools for analyzing 3D face data, and illustrates them using state-of-the-art applications. The methodologies chosen are based on efficient representations, metrics, comparisons, and classifications of features that are especially relevant in the context of 3D measurements of human faces. These frameworks have a long-term utility in face analysis, taking into account the anticipated improvements in data collection, data storage, processing speeds, and application s

  13. Face hallucination using orthogonal canonical correlation analysis

    Science.gov (United States)

    Zhou, Huiling; Lam, Kin-Man

    2016-05-01

    A two-step face-hallucination framework is proposed to reconstruct a high-resolution (HR) version of a face from an input low-resolution (LR) face, based on learning from LR-HR example face pairs using orthogonal canonical correlation analysis (orthogonal CCA) and linear mapping. In the proposed algorithm, face images are first represented using principal component analysis (PCA). Canonical correlation analysis (CCA) with the orthogonality property is then employed, to maximize the correlation between the PCA coefficients of the LR and the HR face pairs to improve the hallucination performance. The original CCA does not own the orthogonality property, which is crucial for information reconstruction. We propose using orthogonal CCA, which is proven by experiments to achieve a better performance in terms of global face reconstruction. In addition, in the residual-compensation process, a linear-mapping method is proposed to include both the inter- and intrainformation about manifolds of different resolutions. Compared with other state-of-the-art approaches, the proposed framework can achieve a comparable, or even better, performance in terms of global face reconstruction and the visual quality of face hallucination. Experiments on images with various parameter settings and blurring distortions show that the proposed approach is robust and has great potential for real-world applications.

  14. Face and object cognition across adult age.

    Science.gov (United States)

    Hildebrandt, Andrea; Wilhelm, Oliver; Herzmann, Grit; Sommer, Werner

    2013-03-01

    We investigated the specificity of face compared with object cognition from an individual differences and aging perspective by determining the amount of overlap between these abilities at the level of latent constructs across age. Confirmatory factor analytic models tested the specificity of speed and accuracy measures for face and object cognition (N = 448; 18 to 88 years). Accuracy measures were distinguishable and slightly dedifferentiated across age, which was not due to loss of visual acuity and contrast sensitivity. There was no face specificity for speed measures. These results support the specificity of face cognition from differential and developmental perspective only for performance accuracy.

  15. Age Dependent Face Recognition using Eigenface

    Directory of Open Access Journals (Sweden)

    Hlaing Htake Khaung Tin

    2013-10-01

    Full Text Available Face recognition is the most successful form of human surveillance. Face recognition technology, is being used to improve human efficiency when recognition faces, is one of the fastest growing fields in the biometric industry. In the first stage, the age is classified into eleven categories which distinguish the person oldness in terms of age. In the second stage of the process is face recognition based on the predicted age. Age prediction has considerable potential applications in human computer interaction and multimedia communication. In this paper proposes an Eigen based age estimation algorithm for estimate an image from the database. Eigenface has proven to be a useful and robust cue for age prediction, age simulation, face recognition, localization and tracking. The scheme is based on an information theory approach that decomposes face images into a small set of characteristic feature images called eigenfaces, which may be thought of as the principal components of the initial training set of face images. The eigenface approach used in this scheme has advantages over other face recognition methods in its speed, simplicity, learning capability and robustness to small changes in the face image.

  16. Real Time Implementation Of Face Recognition System

    Directory of Open Access Journals (Sweden)

    Megha Manchanda

    2014-10-01

    Full Text Available This paper proposes face recognition method using PCA for real time implementation. Nowadays security is gaining importance as it is becoming necessary for people to keep passwords in their mind and carry cards. Such implementations however, are becoming less secure and practical, also is becoming more problematic thus leading to an increasing interest in techniques related to biometrics systems. Face recognition system is amongst important subjects in biometrics systems. This system is very useful for security in particular and has been widely used and developed in many countries. This study aims to achieve face recognition successfully by detecting human face in real time, based on Principal Component Analysis (PCA algorithm.

  17. Females excel at basic face perception.

    Science.gov (United States)

    McBain, Ryan; Norton, Dan; Chen, Yue

    2009-02-01

    Females are generally better than males at recognizing facial emotions. However, it is not entirely clear whether and in what way females may also excel at non-affective face recognition. Here, we tested males and females on two perceptual face recognition tasks that involved only neutral expressions: detection and identity discrimination. On face detection (Experiment 1), females were significantly more accurate than males in detecting upright faces. This gender difference was reduced during inverted face detection, and not present during tree detection, suggesting that the magnitude of the gender difference for performance co-varies with the extent to which face processing mechanisms are involved. On facial identity discrimination (Experiment 2), females again outperformed males, particularly when face images were masked by visual noise, or the delay between comparison face images was extended from 0.5 to 3s. These results reveal a female advantage in processing face-specific information and underscore the role of perceptual factors in socially relevant gender differences.

  18. Facing the challenge of multimorbidity

    Directory of Open Access Journals (Sweden)

    Boris Azaïs

    2016-02-01

    Full Text Available Abstract Multimorbidity is a major public health challenge that is rising up the political and health agenda at an accelerated rate. Although the prevalence of multimorbidity increases with age, more than half of the population with multimorbidity are under the age of 65 years [1], with social deprivation a key determinant of multimorbidity in young and middle-aged adults [2,3]. From an individual’s perspective, multimorbidity reduces life expectancy [4–6], decreases physical functioning and quality of life [7], and increases the risk of depression and other mental health disorders [3]. From a healthcare provider’s perspective, multimorbidity is associated with increased health service use, a high risk of emergency and other hospital admissions, high rates of polypharmacy, and spiralling costs [8]. Current health systems, which are typically built around a single-disease framework, are poorly adapted to cope with patients with multimorbidity, who typically experience fragmented healthcare services, leading to potentially inefficient and ineffective care. It is increasingly clear that we need to change our perspective on multimorbidity in order to address it as a specific condition that requires tailored solutions and approaches. The urgent need to tackle multimorbidity in a more strategic, holistic, and cost-effective manner was evident at the 18th European Health Forum Gastein, a leading annual health policy event in the European Union (EU, held in the autumn of 2015. This Forum attracted policymakers, clinicians, health service managers, patients, and a broad range of other stakeholders, all of whom were invited to attend a session entitled “Facing the Challenge of Multimorbidity”. Journal of Comorbidity 2016;6(1:1–3

  19. Covert face priming reveals a 'true face effect' in a case of congenital prosopagnosia.

    Science.gov (United States)

    Striemer, Christopher; Gingerich, Trevor; Striemer, Danielle; Dixon, Mike

    2009-12-01

    Previous research indicates that individuals with congenital prosopagnosia (CP) fail to demonstrate significant priming from faces to related names in covert recognition tasks. The interpretation has been that CP precludes the ability to acquire face representations. In the current study we replicated this important finding. In addition, we also demonstrated significant 'true face effect' in a CP patient, where face primes that matched the probe names facilitated reaction times compared to unrelated face primes. These data suggest that some individuals with CP may possess degraded face representations that facilitate the priming of a person's identity, but not semantic associates.

  20. Original and Mirror Face Images and Minimum Squared Error Classification for Visible Light Face Recognition

    Directory of Open Access Journals (Sweden)

    Rong Wang

    2015-01-01

    Full Text Available In real-world applications, the image of faces varies with illumination, facial expression, and poses. It seems that more training samples are able to reveal possible images of the faces. Though minimum squared error classification (MSEC is a widely used method, its applications on face recognition usually suffer from the problem of a limited number of training samples. In this paper, we improve MSEC by using the mirror faces as virtual training samples. We obtained the mirror faces generated from original training samples and put these two kinds of samples into a new set. The face recognition experiments show that our method does obtain high accuracy performance in classification.

  1. Original and Mirror Face Images and Minimum Squared Error Classification for Visible Light Face Recognition.

    Science.gov (United States)

    Wang, Rong

    2015-01-01

    In real-world applications, the image of faces varies with illumination, facial expression, and poses. It seems that more training samples are able to reveal possible images of the faces. Though minimum squared error classification (MSEC) is a widely used method, its applications on face recognition usually suffer from the problem of a limited number of training samples. In this paper, we improve MSEC by using the mirror faces as virtual training samples. We obtained the mirror faces generated from original training samples and put these two kinds of samples into a new set. The face recognition experiments show that our method does obtain high accuracy performance in classification.

  2. Perceptual face processing in developmental prosopagnosia is not sensitive to the canonical location of face parts.

    Science.gov (United States)

    Towler, John; Parketny, Joanna; Eimer, Martin

    2016-01-01

    Individuals with developmental prosopagnosia (DP) are strongly impaired in recognizing faces, but it is controversial whether this deficit is linked to atypical visual-perceptual face processing mechanisms. Previous behavioural studies have suggested that face perception in DP might be less sensitive to the canonical spatial configuration of face parts in upright faces. To test this prediction, we recorded event-related brain potentials (ERPs) to intact upright faces and to faces with spatially scrambled parts (eyes, nose, and mouth) in a group of ten participants with DP and a group of ten age-matched control participants with normal face recognition abilities. The face-sensitive N170 component and the vertex positive potential (VPP) were both enhanced and delayed for scrambled as compared to intact faces in the control group. In contrast, N170 and VPP amplitude enhancements to scrambled faces were absent in the DP group. For control participants, the N170 to scrambled faces was also sensitive to feature locations, with larger and delayed N170 components contralateral to the side where all features appeared in a non-canonical position. No such differences were present in the DP group. These findings suggest that spatial templates of the prototypical feature locations within an upright face are selectively impaired in DP.

  3. The two Faces of Equipartition

    Science.gov (United States)

    Sanchez-Sesma, F. J.; Perton, M.; Rodriguez-Castellanos, A.; Campillo, M.; Weaver, R. L.; Rodriguez, M.; Prieto, G.; Luzon, F.; McGarr, A.

    2008-12-01

    relationship of average autocorrelations with the imaginary part of Green function at the source. Preliminary results are displayed in data sets from Chilpancingo, Mexico, and the Tautona Gold Mine, South Africa, that strongly suggest that equipartition, that guarantees the diffuse nature of seismic fields, has more than one face. Acknowledgements. Partial supports from DGAPA-UNAM, Project IN114706, Mexico; from Proyect MCyT CGL2005-05500-C02/BTE, Spain; from project DyETI of INSU-CNRS, France, and from the Instituto Mexicano del Petróleo are greatly appreciated.

  4. Face Detection and Modeling for Recognition

    Science.gov (United States)

    2002-01-01

    facial components show the important role of hair and face outlines in human face recognition. . . 8 1.6 Caricatures of (a) Vincent Van Gogh ; (b) Jim... Vincent Van Gogh ; (b) Jim Carrey; (c) Arnold Schwarzenegger; (d) Einstein; (e) G. W. Bush; and (f) Bill Gates. Images are down- loaded from [9], [10

  5. Perception of faces with and without spectacles.

    Science.gov (United States)

    McKelvie, S J

    1997-04-01

    For 20 faces, 85 subjects selected either a distinctive feature or a distinctive trait. For faces with spectacles, the eyes were judged to be most prominent, and the people were judged to be dull and intelligent. Results are discussed in terms of the physical attractiveness stereotype.

  6. Rear-facing car seat (image)

    Science.gov (United States)

    A rear-facing car seat position is recommended for a child who is very young. Extreme injury can occur in an accident because ... child. In a frontal crash a rear-facing car seat is best, because it cradles the head, ...

  7. Evaluation of Carburized and Ground Face Gears

    Science.gov (United States)

    Lewicki, David G.; Handschuh, Robert F.; Heath, Gregory F.; Sheth, Vijay

    1999-01-01

    Experimental durability tests were performed on carburized and ground AIS19310 steel face gears. The tests were in support of a Defense Advanced Research Projects Agency (DARPA) Technology Reinvestment Program (TRP) to enhance face-gear technology. The tests were conducted in the NASA Glenn spiral-bevel-gear/face-gear test facility. Tests were run at 2300 rpm face gear speed and at loads of 64, 76, 88, 100, and 112-percent of the design torque of 377 N-m (3340 in-lb). The carburized and ground face gears demonstrated the required durability when run for ten-million cycles at each of the applied loads. Proper installation was critical for the successful operation of the spur pinions and face gears. A large amount of backlash produced tooth contact patterns that approached the inner-diameter edge of the face-gear tooth. Low backlash produced tooth contact patterns that approached the outer-diameter edge of the face-gear tooth. Measured backlashes in the range of 0.178 to 0.254 mm (0.007 to 0.010 in) produced acceptable tooth contact patterns.

  8. Clustering Millions of Faces by Identity.

    Science.gov (United States)

    Otto, Charles; Wang, Dayong; Jain, Anil

    2017-03-07

    Given a large collection of unlabeled face images, we address the problem of clustering faces into an unknown number of identities. This problem is of interest in social media, law enforcement, and other applications, where the number of faces can be of the order of hundreds of million, while the number of identities (clusters) can range from a few thousand to millions. To address the challenges of run-time complexity and cluster quality, we present an approximate Rank-Order clustering algorithm that performs better than popular clustering algorithms (k-Means and Spectral). Our experiments include clustering up to 123 million face images into over 10 million clusters. Clustering results are analyzed in terms of external (known face labels) and internal (unknown face labels) quality measures, and run-time. Our algorithm achieves an F-measure of 0:87 on the LFW benchmark (13K faces of 5; 749 individuals), which drops to 0:27 on the largest dataset considered (13K faces in LFW + 123M distractor images). Additionally, we show that frames in the YouTube benchmark can be clustered with an F-measure of 0:71. An internal per-cluster quality measure is developed to rank individual clusters for manual exploration of high quality clusters that are compact and isolated.

  9. Are reading and face processing related?

    DEFF Research Database (Denmark)

    Starrfelt, Randi; Klargaard, Solja; Petersen, Anders

    2015-01-01

    . In this light, investigating face processing in dyslexia, and reading in prosopagnosia becomes interesting: Do deficits in the two domains dissociate? Developmental prosopagnosia (DP) is a disorder of face processing in the absence of brain injury, and in the context of normal intelligence and general cognitive...

  10. Are reading and face processing related?

    DEFF Research Database (Denmark)

    Starrfelt, Randi; Klargaard, Solja K.; Petersen, Anders

    . In this light, investigating face processing in dyslexia, and reading in prosopagnosia becomes interesting: Do deficits in the two domains dissociate? We present data from 11 people with developmental prosopagnosia, which is a disorder of face processing in people with no known brain injury, and in the context...

  11. On the face support of microtunnelling TBMs

    NARCIS (Netherlands)

    Broere, W.

    2014-01-01

    Face stability of microtunnelling TBMs is an important aspect for a safe and controlled project execution. Lack of proper face support can lead to sudden collapse with resulting large settlements. Guidelines for minimal and maximal support pressures in most codes do not take the infiltration of bent

  12. Criteria for face support of microtunneling TBMs

    NARCIS (Netherlands)

    Broere, W.

    2013-01-01

    Face stability of microtunnelling TBMs is an important aspect for a safe and controlled project execution. Lack of proper face support can lead to sudden collapse with resulting large settlements. Guidelines for minimal and maximal support pressures in most codes do not take the infiltration of bent

  13. Unconscious Evaluation of Faces on Social Dimensions

    Science.gov (United States)

    Stewart, Lorna H.; Ajina, Sara; Getov, Spas; Bahrami, Bahador; Todorov, Alexander; Rees, Geraint

    2012-01-01

    It has been proposed that two major axes, dominance and trustworthiness, characterize the social dimensions of face evaluation. Whether evaluation of faces on these social dimensions is restricted to conscious appraisal or happens at a preconscious level is unknown. Here we provide behavioral evidence that such preconscious evaluations exist and…

  14. Tunnel Face Stability & New CPT Applications

    NARCIS (Netherlands)

    Broere, W.

    2001-01-01

    Nearly all tunnels bored in soft soils have encountered problems with the stability of the tunnel face. In several cases these problems led to an extended stand-still of the boring process. A better understanding of the face stability, and of the soil conditions around the tunnel boring machine, can

  15. Infant Face Preferences after Binocular Visual Deprivation

    Science.gov (United States)

    Mondloch, Catherine J.; Lewis, Terri L.; Levin, Alex V.; Maurer, Daphne

    2013-01-01

    Early visual deprivation impairs some, but not all, aspects of face perception. We investigated the possible developmental roots of later abnormalities by using a face detection task to test infants treated for bilateral congenital cataract within 1 hour of their first focused visual input. The seven patients were between 5 and 12 weeks old…

  16. Component-Based Cartoon Face Generation

    Directory of Open Access Journals (Sweden)

    Saman Sepehri Nejad

    2016-11-01

    Full Text Available In this paper, we present a cartoon face generation method that stands on a component-based facial feature extraction approach. Given a frontal face image as an input, our proposed system has the following stages. First, face features are extracted using an extended Active Shape Model. Outlines of the components are locally modified using edge detection, template matching and Hermit interpolation. This modification enhances the diversity of output and accuracy of the component matching required for cartoon generation. Second, to bring cartoon-specific features such as shadows, highlights and, especially, stylish drawing, an array of various face photographs and corresponding hand-drawn cartoon faces are collected. These cartoon templates are automatically decomposed into cartoon components using our proposed method for parameterizing cartoon samples, which is fast and simple. Then, using shape matching methods, the appropriate cartoon component is selected and deformed to fit the input face. Finally, a cartoon face is rendered in a vector format using the rendering rules of the selected template. Experimental results demonstrate effectiveness of our approach in generating life-like cartoon faces.

  17. Face Alignment Using Boosting and Evolutionary Search

    NARCIS (Netherlands)

    Zhang, Hua; Liu, Duanduan; Poel, Mannes; Nijholt, Anton; Zha, H.; Taniguchi, R.-I.; Maybank, S.

    2010-01-01

    In this paper, we present a face alignment approach using granular features, boosting, and an evolutionary search algorithm. Active Appearance Models (AAM) integrate a shape-texture-combined morphable face model into an efficient fitting strategy, then Boosting Appearance Models (BAM) consider the f

  18. How fast is famous face recognition?

    Directory of Open Access Journals (Sweden)

    Gladys eBarragan-Jason

    2012-10-01

    Full Text Available The rapid recognition of familiar faces is crucial for social interactions. However the actual speed with which recognition can be achieved remains largely unknown as most studies have been carried out without any speed constraints. Different paradigms have been used, leading to conflicting results, and although many authors suggest that face recognition is fast, the speed of face recognition has not been directly compared to fast visual tasks. In this study, we sought to overcome these limitations. Subjects performed three tasks, a familiarity categorization task (famous faces among unknown faces, a superordinate categorization task (human faces among animal ones and a gender categorization task. All tasks were performed under speed constraints. The results show that, despite the use of speed constraints, subjects were slow when they had to categorize famous faces: minimum reaction time was 467 ms, which is 180 ms more than during superordinate categorization and 160 ms more than in the gender condition. Our results are compatible with a hierarchy of face processing from the superordinate level to the familiarity level. The processes taking place between detection and recognition need to be investigated in detail.

  19. Robust video foreground segmentation and face recognition

    Institute of Scientific and Technical Information of China (English)

    GUAN Ye-peng

    2009-01-01

    Face recognition provides a natural visual interface for human computer interaction (HCI) applications.The process of face recognition,however,is inhibited by variations in the appearance of face images caused by changes in lighting,expression,viewpoint,aging and introduction of occlusion.Although various algorithms have been presented for face recognition,face recognition is still a very challenging topic.A novel approach of real time face recognition for HCI is proposed in the paper.In view of the limits of the popular approaches to foreground segmentation,wavelet multi-scale transform based background subtraction is developed to extract foreground objects.The optimal selection of the threshold is automatically determined,which does not require any complex supervised training or manual experimental calibration.A robust real time face recognition algorithm is presented,which combines the projection matrixes without iteration and kernel Fisher discriminant analysis (KFDA) to overcome some difficulties existing in the real face recognition.Superior performance of the proposed algorithm is demonstrated by comparing with other algorithms through experiments.The proposed algorithm can also be applied to the video image sequences of natural HCI.

  20. Robust online face tracking-by-detection

    NARCIS (Netherlands)

    Comaschi, F.; Stuijk, S.; Basten, T.; Corporaal, H.

    2016-01-01

    The problem of online face tracking from unconstrained videos is still unresolved. Challenges range from coping with severe online appearance variations to coping with occlusion. We propose RFTD (Robust Face Tracking-by-Detection), a system which combines tracking and detection into a single framewo

  1. Biased allocation of faces to social categories

    NARCIS (Netherlands)

    Dotsch, R.; Wigboldus, D.H.J.; Knippenberg, A.F.M. van

    2011-01-01

    Three studies show that social categorization is biased at the level of category allocation. In all studies, participants categorized faces. In Studies 1 and 2, participants overallocated faces with criminal features-a stereotypical negative trait-to the stigmatized Moroccan category, especially if

  2. Newborns' Face Recognition over Changes in Viewpoint

    Science.gov (United States)

    Turati, Chiara; Bulf, Hermann; Simion, Francesca

    2008-01-01

    The study investigated the origins of the ability to recognize faces despite rotations in depth. Four experiments are reported that tested, using the habituation technique, whether 1-to-3-day-old infants are able to recognize the invariant aspects of a face over changes in viewpoint. Newborns failed to recognize facial perceptual invariances…

  3. A Novel Face Segmentation Algorithm from a Video Sequence for Real-Time Face Recognition

    Directory of Open Access Journals (Sweden)

    Sudhaker Samuel RD

    2007-01-01

    Full Text Available The first step in an automatic face recognition system is to localize the face region in a cluttered background and carefully segment the face from each frame of a video sequence. In this paper, we propose a fast and efficient algorithm for segmenting a face suitable for recognition from a video sequence. The cluttered background is first subtracted from each frame, in the foreground regions, a coarse face region is found using skin colour. Then using a dynamic template matching approach the face is efficiently segmented. The proposed algorithm is fast and suitable for real-time video sequence. The algorithm is invariant to large scale and pose variation. The segmented face is then handed over to a recognition algorithm based on principal component analysis and linear discriminant analysis. The online face detection, segmentation, and recognition algorithms take an average of 0.06 second on a 3.2 GHz P4 machine.

  4. Faces in Context: Does Face Perception Depend on the Orientation of the Visual Scene?

    Science.gov (United States)

    Taubert, Jessica; van Golde, Celine; Verstraten, Frans A J

    2016-10-01

    The mechanisms held responsible for familiar face recognition are thought to be orientation dependent; inverted faces are more difficult to recognize than their upright counterparts. Although this effect of inversion has been investigated extensively, researchers have typically sliced faces from photographs and presented them in isolation. As such, it is not known whether the perceived orientation of a face is inherited from the visual scene in which it appears. Here, we address this question by measuring performance in a simultaneous same-different task while manipulating both the orientation of the faces and the scene. We found that the face inversion effect survived scene inversion. Nonetheless, an improvement in performance when the scene was upside down suggests that sensitivity to identity increased when the faces were more easily segmented from the scene. Thus, while these data identify congruency with the visual environment as a contributing factor in recognition performance, they imply different mechanisms operate on upright and inverted faces.

  5. Image Pixel Fusion for Human Face Recognition

    CERN Document Server

    Bhowmik, Mrinal Kanti; Nasipuri, Mita; Basu, Dipak Kumar; Kundu, Mahantapas

    2010-01-01

    In this paper we present a technique for fusion of optical and thermal face images based on image pixel fusion approach. Out of several factors, which affect face recognition performance in case of visual images, illumination changes are a significant factor that needs to be addressed. Thermal images are better in handling illumination conditions but not very consistent in capturing texture details of the faces. Other factors like sunglasses, beard, moustache etc also play active role in adding complicacies to the recognition process. Fusion of thermal and visual images is a solution to overcome the drawbacks present in the individual thermal and visual face images. Here fused images are projected into an eigenspace and the projected images are classified using a radial basis function (RBF) neural network and also by a multi-layer perceptron (MLP). In the experiments Object Tracking and Classification Beyond Visible Spectrum (OTCBVS) database benchmark for thermal and visual face images have been used. Compar...

  6. RGB-D-T based Face Recognition

    DEFF Research Database (Denmark)

    Nikisins, Olegs; Nasrollahi, Kamal; Greitans, Modris

    2014-01-01

    Facial images are of critical importance in many real-world applications from gaming to surveillance. The current literature on facial image analysis, from face detection to face and facial expression recognition, are mainly performed in either RGB, Depth (D), or both of these modalities. But......, such analyzes have rarely included Thermal (T) modality. This paper paves the way for performing such facial analyzes using synchronized RGB-D-T facial images by introducing a database of 51 persons including facial images of different rotations, illuminations, and expressions. Furthermore, a face recognition...... algorithm has been developed to use these images. The experimental results show that face recognition using such three modalities provides better results compared to face recognition in any of such modalities in most of the cases....

  7. Discriminant Phase Component for Face Recognition

    Directory of Open Access Journals (Sweden)

    Naser Zaeri

    2012-01-01

    Full Text Available Numerous face recognition techniques have been developed owing to the growing number of real-world applications. Most of current algorithms for face recognition involve considerable amount of computations and hence they cannot be used on devices constrained with limited speed and memory. In this paper, we propose a novel solution for efficient face recognition problem for systems that utilize small memory capacities and demand fast performance. The new technique divides the face images into components and finds the discriminant phases of the Fourier transform of these components automatically using the sequential floating forward search method. A thorough study and comprehensive experiments relating time consumption versus system performance are applied to benchmark face image databases. Finally, the proposed technique is compared with other known methods and evaluated through the recognition rate and the computational time, where we achieve a recognition rate of 98.5% with computational time of 6.4 minutes for a database consisting of 2360 images.

  8. In your face: Transcendence in embodied interaction

    Directory of Open Access Journals (Sweden)

    Shaun eGallagher

    2014-07-01

    Full Text Available In cognitive psychology, studies concerning the face tend to focus on questions about face recognition, theory of mind and empathy. Questions about the face, however, also fit into a very different set of issues that are central to ethics. Based especially on the work of Levinas, philosophers have come to see that reference to the face of another person can anchor conceptions of moral responsibility and ethical demand. Levinas points to a certain irreducibility and transcendence implicit in the face of the other. In this paper I argue that the notion of transcendence involved in this kind of analysis can be given a naturalistic interpretation by drawing on recent interactive approaches to social cognition found in developmental psychology, phenomenology, and the study of autism.

  9. Congenital asymmetric crying face: a case report

    Directory of Open Access Journals (Sweden)

    Semra Kara

    2011-12-01

    Full Text Available Congenital asymmetric crying face is an anomalia caused by unilateral absence or weakness of depressor anguli oris muscle The major finding of the disease is the absence or weakness in the outer and lower movement of the commissure during crying. The other expression muscles are normal and the face is symmetric at rest. The asymmetry in congenital asymmetric crying face is most evident during infancy but decreases by age. Congenital asymmetric crying face can be associated with cervicofacial, musclebone, respiratory, genitourinary and central nervous system anomalia. It is diagnosed by physical examination. This paper presents a six days old infant with Congenital asymmetric crying face and discusses the case in terms of diagnosis and disease features.

  10. Face recognition with L1-norm subspaces

    Science.gov (United States)

    Maritato, Federica; Liu, Ying; Colonnese, Stefania; Pados, Dimitris A.

    2016-05-01

    We consider the problem of representing individual faces by maximum L1-norm projection subspaces calculated from available face-image ensembles. In contrast to conventional L2-norm subspaces, L1-norm subspaces are seen to offer significant robustness to image variations, disturbances, and rank selection. Face recognition becomes then the problem of associating a new unknown face image to the "closest," in some sense, L1 subspace in the database. In this work, we also introduce the concept of adaptively allocating the available number of principal components to different face image classes, subject to a given total number/budget of principal components. Experimental studies included in this paper illustrate and support the theoretical developments.

  11. FACE RECOGNITION USING TWO DIMENSIONAL LAPLACIAN EIGENMAP

    Institute of Scientific and Technical Information of China (English)

    Chen Jiangfeng; Yuan Baozong; Pei Bingnan

    2008-01-01

    Recently,some research efforts have shown that face images possibly reside on a nonlinear sub-manifold. Though Laplacianfaces method considered the manifold structures of the face images,it has limits to solve face recognition problem. This paper proposes a new feature extraction method,Two Dimensional Laplacian EigenMap (2DLEM),which especially considers the manifold structures of the face images,and extracts the proper features from face image matrix directly by using a linear transformation. As opposed to Laplacianfaces,2DLEM extracts features directly from 2D images without a vectorization preprocessing. To test 2DLEM and evaluate its performance,a series of ex-periments are performed on the ORL database and the Yale database. Moreover,several experiments are performed to compare the performance of three 2D methods. The experiments show that 2DLEM achieves the best performance.

  12. The Effects of Face Inversion and Face Race on the P100 ERP.

    Science.gov (United States)

    Colombatto, Clara; McCarthy, Gregory

    2016-11-29

    Research about the neural basis of face recognition has investigated the timing and anatomical substrates of different stages of face processing. Scalp-recorded ERP studies of face processing have focused on the N170, an ERP with a peak latency of ∼170 msec that has long been associated with the initial structural encoding of faces. However, several studies have reported earlier ERP differences related to faces, suggesting that face-specific processes might occur before N170. Here, we examined the influence of face inversion and face race on the timing of face-sensitive scalp-recorded ERPs by examining neural responses to upright and inverted line-drawn and luminance-matched White and Black faces in a sample of White participants. We found that the P100 ERP evoked by inverted faces was significantly larger than that evoked by upright faces. Although this inversion effect was statistically significant at 100 msec, the inverted-upright ERP difference peaked at 138 msec, suggesting that it might represent an activity in neural sources that overlap with P100. Inverse modeling of the inversion effect difference waveform suggested possible neural sources in pericalcarine extrastriate visual cortex and lateral occipito-temporal cortex. We also found that the inversion effect difference wave was larger for White faces. These results are consistent with behavioral evidence that individuals process the faces of their own races more configurally than faces of other races. Taken together, the inversion and race effects observed in the current study suggest that configuration influences face processing by at least 100 msec.

  13. The Body That Speaks: Recombining Bodies and Speech Sources in Unscripted Face-to-Face Communication

    OpenAIRE

    Alex Gillespie; Kevin Corti

    2016-01-01

    This article examines advances in research methods that enable experimental substitution of the speaking body in unscripted face-to-face communication. A taxonomy of six hybrid social agents is presented by combining three types of bodies (mechanical, virtual, and human) with either an artificial or human speech source. Our contribution is to introduce and explore the significance of two particular hybrids: (1) the cyranoid method that enables humans to converse face-to-face through the mediu...

  14. Attention to individual identities modulates face processing.

    Science.gov (United States)

    Ruz, María; Aranda, Clara; Sarmiento, Beatriz R; Sanabria, Daniel

    2015-05-01

    The ability of attention to apply in a flexible manner to several types of information at various stages of processing has been studied extensively. However, the susceptibility of these effects to the nature of the idiosyncratic items being attended is less understood. In the current study, we used symbolic cues to orient the attention of participants to the subsequent appearance of the face of a famous person (the former king of Spain) or an unfamiliar face. These were matched in perceptual characteristics. Behavioral effects showed that face-specific attention optimized response speed in an orthogonal task when the target matched the cue (valid trials) compared to when it did not (invalid trials). According to topographical analyses of the electrophysiological data, the famous and unfamiliar faces engaged dissociable brain circuits in two different temporal windows, from 144 to 300 ms after target processing, and at a later 456-492 ms epoch. In addition, orienting attention to specific faces modulated the perceptual stages reflected in the P1 and N170 potentials but with a different laterality pattern that depended on the familiarity of the faces. Whereas only attention to the famous face enhanced the P1 potential at left posterior electrodes, with no corresponding effect for the unfamiliar face at this stage, the N170 was modulated at left posterior sites for the famous item and at right homologous electrodes for the unfamiliar face. Intermediate processing stages, previously linked to facial identity processing indexed by the P2 and N2 potentials, reflected item familiarity but were not affected by the cueing manipulation. At the P3 level, attention influenced again item processing but did so in an equivalent manner for the famous and unfamiliar face. Our results, showing that identity-specific attention modulates perceptual stages of facial processing at different locations depending on idiosyncratic stimulus familiarity, may inform comparison of studies

  15. A causal relationship between face-patch activity and face-detection behavior

    Science.gov (United States)

    Sadagopan, Srivatsun; Zarco, Wilbert; Freiwald, Winrich A

    2017-01-01

    The primate brain contains distinct areas densely populated by face-selective neurons. One of these, face-patch ML, contains neurons selective for contrast relationships between face parts. Such contrast-relationships can serve as powerful heuristics for face detection. However, it is unknown whether neurons with such selectivity actually support face-detection behavior. Here, we devised a naturalistic face-detection task and combined it with fMRI-guided pharmacological inactivation of ML to test whether ML is of critical importance for real-world face detection. We found that inactivation of ML impairs face detection. The effect was anatomically specific, as inactivation of areas outside ML did not affect face detection, and it was categorically specific, as inactivation of ML impaired face detection while sparing body and object detection. These results establish that ML function is crucial for detection of faces in natural scenes, performing a critical first step on which other face processing operations can build. DOI: http://dx.doi.org/10.7554/eLife.18558.001 PMID:28375078

  16. The Many Faces of the Still-Face Paradigm: A Review and Meta-Analysis

    Science.gov (United States)

    Mesman, Judi; van IJzendoorn, Marinus H.; Bakermans-Kranenburg, Marian J.

    2009-01-01

    The Still-Face Paradigm (SFP) designed by Tronick, Als, Adamson, Wise, and Brazelton (Tronick, E., Als, H., Adamson, L., Wise, S., & Brazelton, T. B. (1978). Infants response to entrapment between contradictory messages in face-to-face interaction. "Journal of the American Academy of Child and Adolescent Psychiatry, 17", 1-13) has been used for…

  17. Holistic Face Processing Is Mature at 4 Years of Age: Evidence from the Composite Face Effect

    Science.gov (United States)

    de Heering, Adelaide; Houthuys, Sarah; Rossion, Bruno

    2007-01-01

    Although it is acknowledged that adults integrate features into a representation of the whole face, there is still some disagreement about the onset and developmental course of holistic face processing. We tested adults and children from 4 to 6 years of age with the same paradigm measuring holistic face processing through an adaptation of the…

  18. Face age and sex modulate the other-race effect in face recognition.

    Science.gov (United States)

    Wallis, Jennifer; Lipp, Ottmar V; Vanman, Eric J

    2012-11-01

    Faces convey a variety of socially relevant cues that have been shown to affect recognition, such as age, sex, and race, but few studies have examined the interactive effect of these cues. White participants of two distinct age groups were presented with faces that differed in race, age, and sex in a face recognition paradigm. Replicating the other-race effect, young participants recognized young own-race faces better than young other-race faces. However, recognition performance did not differ across old faces of different races (Experiments 1, 2A). In addition, participants showed an other-age effect, recognizing White young faces better than White old faces. Sex affected recognition performance only when age was not varied (Experiment 2B). Overall, older participants showed a similar recognition pattern (Experiment 3) as young participants, displaying an other-race effect for young, but not old, faces. However, they recognized young and old White faces on a similar level. These findings indicate that face cues interact to affect recognition performance such that age and sex information reliably modulate the effect of race cues. These results extend accounts of face recognition that explain recognition biases (such as the other-race effect) as a function of dichotomous ingroup/outgroup categorization, in that outgroup characteristics are not simply additive but interactively determine recognition performance.

  19. Outlining face processing skills of portrait artists: Perceptual experience with faces predicts performance.

    Science.gov (United States)

    Devue, Christel; Barsics, Catherine

    2016-10-01

    Most humans seem to demonstrate astonishingly high levels of skill in face processing if one considers the sophisticated level of fine-tuned discrimination that face recognition requires. However, numerous studies now indicate that the ability to process faces is not as fundamental as once thought and that performance can range from despairingly poor to extraordinarily high across people. Here we studied people who are super specialists of faces, namely portrait artists, to examine how their specific visual experience with faces relates to a range of face processing skills (perceptual discrimination, short- and longer term recognition). Artists show better perceptual discrimination and, to some extent, recognition of newly learned faces than controls. They are also more accurate on other perceptual tasks (i.e., involving non-face stimuli or mental rotation). By contrast, artists do not display an advantage compared to controls on longer term face recognition (i.e., famous faces) nor on person recognition from other sensorial modalities (i.e., voices). Finally, the face inversion effect exists in artists and controls and is not modulated by artistic practice. Advantages in face processing for artists thus seem to closely mirror perceptual and visual short term memory skills involved in portraiture.

  20. Developmental Changes in Face Recognition during Childhood: Evidence from Upright and Inverted Faces

    Science.gov (United States)

    de Heering, Adelaide; Rossion, Bruno; Maurer, Daphne

    2012-01-01

    Adults are experts at recognizing faces but there is controversy about how this ability develops with age. We assessed 6- to 12-year-olds and adults using a digitized version of the Benton Face Recognition Test, a sensitive tool for assessing face perception abilities. Children's response times for correct responses did not decrease between ages 6…

  1. Isolating the Special Component of Face Recognition: Peripheral Identification and a Mooney Face

    Science.gov (United States)

    McKone, Elinor

    2004-01-01

    A previous finding argues that, for faces, configural (holistic) processing can operate even in the complete absence of part-based contributions to recognition. Here, this result is confirmed using 2 methods. In both, recognition of inverted faces (parts only) was removed altogether (chance identification of faces in the periphery; no perception…

  2. Face Engagement during Infancy Predicts Later Face Recognition Ability in Younger Siblings of Children with Autism

    Science.gov (United States)

    de Klerk, Carina C. J. M.; Gliga, Teodora; Charman, Tony; Johnson, Mark H.

    2014-01-01

    Face recognition difficulties are frequently documented in children with autism spectrum disorders (ASD). It has been hypothesized that these difficulties result from a reduced interest in faces early in life, leading to decreased cortical specialization and atypical development of the neural circuitry for face processing. However, a recent study…

  3. Applying Artificial Neural Networks for Face Recognition

    Directory of Open Access Journals (Sweden)

    Thai Hoang Le

    2011-01-01

    Full Text Available This paper introduces some novel models for all steps of a face recognition system. In the step of face detection, we propose a hybrid model combining AdaBoost and Artificial Neural Network (ABANN to solve the process efficiently. In the next step, labeled faces detected by ABANN will be aligned by Active Shape Model and Multi Layer Perceptron. In this alignment step, we propose a new 2D local texture model based on Multi Layer Perceptron. The classifier of the model significantly improves the accuracy and the robustness of local searching on faces with expression variation and ambiguous contours. In the feature extraction step, we describe a methodology for improving the efficiency by the association of two methods: geometric feature based method and Independent Component Analysis method. In the face matching step, we apply a model combining many Neural Networks for matching geometric features of human face. The model links many Neural Networks together, so we call it Multi Artificial Neural Network. MIT + CMU database is used for evaluating our proposed methods for face detection and alignment. Finally, the experimental results of all steps on CallTech database show the feasibility of our proposed model.

  4. Cotton fabrics with single-faced superhydrophobicity.

    Science.gov (United States)

    Liu, Yuyang; Xin, J H; Choi, Chang-Hwan

    2012-12-18

    This article reports on the fabrication of cotton fabrics with single-faced superhydrophobicity using a simple foam finishing process. Unlike most commonly reported superhydrophobic fabrics, the fabrics developed in this study exhibit asymmetric wettability on their two faces: one face showing superhydrophobic behavior (highly nonwetting or water-repellent characteristics) and the other face retaining the inherent hydrophilic nature of cotton. The superhydrophobic face exhibits a low contact angle hysteresis of θ(a)/θ(r) = 151°/144° (θ(a), advancing contact angle; θ(r), receding contact angle), which enables water drops to roll off the surface easily so as to endow the surface with well-known self-cleaning properties. The untreated hydrophilic face preserves its water-absorbing capability, resulting in 44% of the water-absorbing capacity compared to that of the original cotton samples with both sides untreated (hydrophilic). The single-faced superhydrophobic fabrics also retain moisture transmissibility that is as good as that of the original untreated cotton fabrics. They also show robust washing fastness with the chemical cross-linking process of hydrophobic fluoropolymer to fabric fibers. Fabric materials with such asymmetric or gradient wettability will be of great use in many applications such as unidirectional liquid transporting, moisture management, microfluidic systems, desalination of seawater, flow management in fuel cells, and water/oil separation.

  5. An Introduction to Face Recognition Technology

    Directory of Open Access Journals (Sweden)

    Shang-Hung Lin

    2000-01-01

    Full Text Available Recently face recognition is attracting much attention in the society of network multimedia information access.  Areas such as network security, content indexing and retrieval, and video compression benefits from face recognition technology because "people" are the center of attention in a lot of video.  Network access control via face recognition not only makes hackers virtually impossible to steal one's "password", but also increases the user-friendliness in human-computer interaction.  Indexing and/or retrieving video data based on the appearances of particular persons will be useful for users such as news reporters, political scientists, and moviegoers.  For the applications of videophone and teleconferencing, the assistance of face recognition also provides a more efficient coding scheme.  In this paper, we give an introductory course of this new information processing technology.  The paper shows the readers the generic framework for the face recognition system, and the variants that are frequently encountered by the face recognizer.  Several famous face recognition algorithms, such as eigenfaces and neural networks, will also be explained.

  6. Effect of face familiarity on age decision.

    Science.gov (United States)

    Bruyer, Raymond; Mejias, Sandrine; Doublet, Sophie

    2007-02-01

    The present experiment was planned to check whether the extraction of apparent age is affected by face identity (familiarity) or not. According to the traditional view, age estimation should be carried out independently of face identity, because it is one of the visually derived semantic codes (like gender and ethnicity). However, little is known about its underlying mechanisms. Moreover, some recent studies have cast doubt on the parallel thesis regarding facial expression, facial speech, ethnicity, and gender. Given the promising results of a pilot experiment (n=24), 16 Caucasian participants were enrolled in an "age decision" task on morphed faces derived from one old and one young source-face, in the proportion 70:30. The respondents had previously been familiarised with half the source faces by a learning procedure (associating the face, surname, occupation and city of residence of the person displayed), while the remaining half were unfamiliar. The results showed that age decision was affected by face familiarity, at least when the task was perceptually difficult enough. This adds support to the thesis that the identification of identity and the extraction of visually derived semantic codes are not made independently from each other. The status of age, within the visually derived semantic codes, is also discussed.

  7. Trustworthy-looking face meets brown eyes.

    Directory of Open Access Journals (Sweden)

    Karel Kleisner

    Full Text Available We tested whether eye color influences perception of trustworthiness. Facial photographs of 40 female and 40 male students were rated for perceived trustworthiness. Eye color had a significant effect, the brown-eyed faces being perceived as more trustworthy than the blue-eyed ones. Geometric morphometrics, however, revealed significant correlations between eye color and face shape. Thus, face shape likewise had a significant effect on perceived trustworthiness but only for male faces, the effect for female faces not being significant. To determine whether perception of trustworthiness was being influenced primarily by eye color or by face shape, we recolored the eyes on the same male facial photos and repeated the test procedure. Eye color now had no effect on perceived trustworthiness. We concluded that although the brown-eyed faces were perceived as more trustworthy than the blue-eyed ones, it was not brown eye color per se that caused the stronger perception of trustworthiness but rather the facial features associated with brown eyes.

  8. Autism and emotional face-viewing.

    Science.gov (United States)

    Åsberg Johnels, Jakob; Hovey, Daniel; Zürcher, Nicole; Hippolyte, Loyse; Lemonnier, Eric; Gillberg, Christopher; Hadjikhani, Nouchine

    2016-11-28

    Atypical patterns of face-scanning in individuals with autism spectrum disorder (ASD) may contribute to difficulties in social interactions, but there is little agreement regarding what exactly characterizes face-viewing in ASD. In addition, little research has examined how face-viewing is modulated by the emotional expression of the stimuli, in individuals with or without ASD. We used eye-tracking to explore viewing patterns during perception of dynamic emotional facial expressions in relatively large groups of individuals with (n = 57) and without ASD (n = 58) and examined diagnostic- and age-related effects, after subgrouping children and adolescents (≤18 years), on the one hand, and adults (>18 years), on the other. Results showed that children/adolescents with ASD fixated the mouth of happy and angry faces less than their typically developing (TD) peers, and conversely looked more to the eyes of happy faces. Moreover, while all groups fixated the mouth in happy faces more than in other expressions, children/adolescents with ASD did relatively less so. Correlation analysis showed a similar lack of relative orientation toward the mouth of smiling faces in TD children/adolescents with high autistic traits, as measured by the Autism-Spectrum Quotient (AQ). Among adults, participants with ASD attended less to the eyes only for neutral faces. Our study shows that the emotional content of a face influences gaze behavior, and that this effect is not fully developed in children/adolescents with ASD. Interestingly, this lack of differentiation observed in the younger ASD group was also seen in younger TD individuals with higher AQ scores. Autism Res 2016. © 2016 International Society for Autism Research, Wiley Periodicals, Inc.

  9. The early development of face processing-What makes faces special?

    Institute of Scientific and Technical Information of China (English)

    Stefanie Hoehl; Stefanie Peykarjou

    2012-01-01

    In the present article we review behavioral and neurophysiological studies on face processing in adults and in early development.From the existing empirical and theoretical literature we derive three aspects that distinguish face processing from the processing of other visual object categories.Each of these aspects is discussed from a developmental perspective.First,faces are recognized and represented at the individual level rather than at the basic level.Second,humans typically acquire extensive expertise in individuating faces from early on in development.And third,more than other objects,faces are processed holistically.There is a quantitative difference in the amount of visual experience for faces and other object categories in that the amount of expertise typically acquired for faces is greater than that for other object categories.In addition,we discuss possible qualitative differences in experience for faces and objects.For instance,there is evidence for a sensitive period in infancy for building up a holistic face representation and for perceptual narrowing for faces of one's own species and race.We conclude our literature review with questions for future research,for instance,regarding the exact relationship between behavioral and neuronal markers of face processing across development.

  10. Transfer of figural face aftereffects suggests mature orientation selectivity in 8-year-olds' face coding.

    Science.gov (United States)

    Jeffery, Linda; Taylor, Libby; Rhodes, Gillian

    2014-10-01

    Adult face perception mechanisms are tuned to upright faces, and this orientation selectivity is central to adult expertise with upright faces. Children are less expert than adults, and it has been argued that their face mechanisms are less orientation selective than those of adults. Here we used face aftereffects to test this hypothesis by examining whether children's aftereffects show greater transfer across changes in orientation than do adults' aftereffects. We adapted 7- to 8-year-old children and adults to figural face distortions in both upright and inverted orientations and examined the size of resulting aftereffects in both upright and inverted test faces. If children's face mechanisms are less orientation selective than those of adults, then children's aftereffects should transfer more strongly across changes in orientation. We found no evidence to support this prediction. Children's and adults' aftereffects were similarly reduced by orientation differences between adapt and test. These results indicate that children, like adults, show a high degree of orientation selectivity in face shape coding and suggest that neural tuning to face orientation may be mature by 8 years of age. Our findings are consistent with an emerging view that many of the key attributes of specialized face perception emerge much earlier in development than previously thought.

  11. Fusing Facial Features for Face Recognition

    Directory of Open Access Journals (Sweden)

    Jamal Ahmad Dargham

    2012-06-01

    Full Text Available Face recognition is an important biometric method because of its potential applications in many fields, such as access control, surveillance, and human-computer interaction. In this paper, a face recognition system that fuses the outputs of three face recognition systems based on Gabor jets is presented. The first system uses the magnitude, the second uses the phase, and the third uses the phase-weighted magnitude of the jets. The jets are generated from facial landmarks selected using three selection methods. It was found out that fusing the facial features gives better recognition rate than either facial feature used individually regardless of the landmark selection method.

  12. Wavelet-based multispectral face recognition

    Institute of Scientific and Technical Information of China (English)

    LIU Dian-ting; ZHOU Xiao-dan; WANG Cheng-wen

    2008-01-01

    This paper proposes a novel wavelet-based face recognition method using thermal infrared (1R) and visible-light face images. The method applies the combination of Gabor and the Fisherfaces method to the reconstructed IR and visible images derived from wavelet frequency subbands. Our objective is to search for the subbands that are insensitive to the variation in expression and in illumination. The classification performance is improved by combining the multispectal information coming from the subbands that attain individually low equal error rate. Experimental results on Notre Dame face database show that the proposed wavelet-based algorithm outperforms previous multispectral images fusion method as well as monospectral method.

  13. Incremental Supervised Subspace Learning for Face Recognition

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Subspace learning algorithms have been well studied in face recognition. Among them, linear discriminant analysis (LDA) is one of the most widely used supervised subspace learning method. Due to the difficulty of designing an incremental solution of the eigen decomposition on the product of matrices, there is little work for computing LDA incrementally. To avoid this limitation, an incremental supervised subspace learning (ISSL) algorithm was proposed, which incrementally learns an adaptive subspace by optimizing the maximum margin criterion (MMC). With the dynamically added face images, ISSL can effectively constrain the computational cost. Feasibility of the new algorithm has been successfully tested on different face data sets.

  14. Brain and face: communicating signals of health in the left and right sides of the face.

    Science.gov (United States)

    Reis, V A; Zaidel, D W

    2001-01-01

    In human communication and mate selection the appearance of health sends signals regarding biological fitness. We compared the appearance of health in the sides of the face to previous results on left-right facial asymmetry in the appearance of beauty (1). The stimuli were created by aligning the left and right sides of the face each with its own mirror image. Here, participants viewed 38 pairs of left-left and right-right faces and judged which member of the pair looked healthier. No significant interaction emerged between decision (health vs attractiveness) and face side. Rather, in women's faces right-right was significantly more healthy and attractive than left-left, while in men's faces there was no significant left-right difference. In biology and evolution, health and beauty are closely linked and the findings here confirm this relationship in human faces.

  15. In Your Face: Startle to Emotional Facial Expressions Depends on Face Direction

    Science.gov (United States)

    Michalsen, Henriette; Øvervoll, Morten

    2017-01-01

    Although faces are often included in the broad category of emotional visual stimuli, the affective impact of different facial expressions is not well documented. The present experiment investigated startle electromyographic responses to pictures of neutral, happy, angry, and fearful facial expressions, with a frontal face direction (directed) and at a 45° angle to the left (averted). Results showed that emotional facial expressions interact with face direction to produce startle potentiation: Greater responses were found for angry expressions, compared with fear and neutrality, with directed faces. When faces were averted, fear and neutrality produced larger responses compared with anger and happiness. These results are in line with the notion that startle is potentiated to stimuli signaling threat. That is, a forward directed angry face may signal a threat toward the observer, and a fearful face directed to the side may signal a possible threat in the environment.

  16. Equivalent activation of the hippocampus by face-face and face-laugh paired associate learning and recognition.

    Science.gov (United States)

    Holdstock, J S; Crane, J; Bachorowski, J-A; Milner, B

    2010-11-01

    The human hippocampus is known to play an important role in relational memory. Both patient lesion studies and functional-imaging studies have shown that it is involved in the encoding and retrieval from memory of arbitrary associations. Two recent patient lesion studies, however, have found dissociations between spared and impaired memory within the domain of relational memory. Recognition of associations between information of the same kind (e.g., two faces) was spared, whereas recognition of associations between information of different kinds (e.g., face-name or face-voice associations) was impaired by hippocampal lesions. Thus, recognition of associations between information of the same kind may not be mediated by the hippocampus. Few imaging studies have directly compared activation at encoding and recognition of associations between same and different types of information. Those that have have shown mixed findings and been open to alternative interpretation. We used fMRI to compare hippocampal activation while participants studied and later recognized face-face and face-laugh paired associates. We found no differences in hippocampal activation between our two types of stimulus materials during either study or recognition. Study of both types of paired associate activated the hippocampus bilaterally, but the hippocampus was not activated by either condition during recognition. Our findings suggest that the human hippocampus is normally engaged to a similar extent by study and recognition of associations between information of the same kind and associations between information of different kinds.

  17. ANALYSIS OF MULTIDIMENSIONAL MEDICAL DATA USING PICTOGRAPHICS «CHERNOFF FACES»

    Directory of Open Access Journals (Sweden)

    I. A. Osadchaya

    2014-01-01

    Full Text Available The use of graphics in research works not only increases the speed of information transmission and increases the level of its understanding, but also contributes to the development of such important for professionals in any industry qualities of intuition and creative thinking. Methods of cognitive graphics significantly extend the capabilities of specialists any field of knowledge to identify the most informative parameters when processing the extensive data base and solving specific problems; detect sometimes radically new facts, radically changing their views known. A separate direction of cognitive graphics forms in medicine. Visualization of the current state of the object and the characteristic features provide continuous control over the condition of groups of persons or individual.This work focuses on the identification of psychological and physiological characteristics of patients with various forms of bronchial asthma using the methods of visualization of multidimensional data.Thus, the object of study are the physiological data of patients with bronchial asthma. Subject of research are the methods of cognitive graphics, namely, the methods of information presentation in the form of graphic images.The aim of this work is to study the possibilities of applying the methods of cognitive graphics in the study of the physiological characteristics of patients with various forms of bronchial asthma. In the end, work has revealed a number of regularities for various forms of bronchial asthma using the methods of data visualization.

  18. Acne, cystic on the face (image)

    Science.gov (United States)

    The face is the most common location of acne. Here, there are 4 to 6 millimeter red ( ... scars and fistulous tract formation (connecting passages). Severe acne may have a profound psychological impact and may ...

  19. Direct Neighborhood Discriminant Analysis for Face Recognition

    Directory of Open Access Journals (Sweden)

    Miao Cheng

    2008-01-01

    Full Text Available Face recognition is a challenging problem in computer vision and pattern recognition. Recently, many local geometrical structure-based techiniques are presented to obtain the low-dimensional representation of face images with enhanced discriminatory power. However, these methods suffer from the small simple size (SSS problem or the high computation complexity of high-dimensional data. To overcome these problems, we propose a novel local manifold structure learning method for face recognition, named direct neighborhood discriminant analysis (DNDA, which separates the nearby samples of interclass and preserves the local within-class geometry in two steps, respectively. In addition, the PCA preprocessing to reduce dimension to a large extent is not needed in DNDA avoiding loss of discriminative information. Experiments conducted on ORL, Yale, and UMIST face databases show the effectiveness of the proposed method.

  20. Disabled Children Face Bullying Throughout School Years

    Science.gov (United States)

    ... gov/news/fullstory_162772.html Disabled Children Face Bullying Throughout School Years More must be done to ... 29, 2016 WEDNESDAY, Dec. 28, 2016 (HealthDay News) -- Bullying is a problem that affects almost all students ...

  1. Fatality Assessment and Control Evaluation (FACE) Program

    Data.gov (United States)

    U.S. Department of Health & Human Services — Each day, between 12 to 13 U.S. workers die as a result of a traumatic injury on the job. Investigations conducted through the FACE program allow the identification...

  2. Hallucinating face in the DCT domain.

    Science.gov (United States)

    Zhang, Wei; Cham, Wai-Kuen

    2011-10-01

    In this paper, we propose a novel learning-based face hallucination framework built in the DCT domain, which can produce a high-resolution face image from a single low-resolution one. The problem is formulated as inferring the DCT coefficients in frequency domain instead of estimating pixel intensities in spatial domain. Our study shows that DC coefficients can be estimated fairly accurately by simple interpolation-based methods. AC coefficients, which contain the information of local features of face image, cannot be estimated well using interpolation. A simple but effective learning-based inference model is proposed to infer the ac coefficients. Experiments have been conducted to demonstrate the effectiveness of the proposed method in producing high quality hallucinated face images.

  3. Robust and Efficient Parametric Face Alignment

    NARCIS (Netherlands)

    Tzimiropoulos, Georgios; Zafeiriou, Stefanos; Pantic, Maja

    2011-01-01

    We propose a correlation-based approach to parametric object alignment particularly suitable for face analysis applications which require efficiency and robustness against occlusions and illumination changes. Our algorithm registers two images by iteratively maximizing their correlation coefficient

  4. AN EVEN COMPONENT BASED FACE RECOGNITION METHOD

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    This paper presents a novel face recognition algorithm. To provide additional variations to training data set, even-odd decomposition is adopted, and only the even components (half-even face images) are used for further processing. To tackle with shift-variant problem,Fourier transform is applied to half-even face images. To reduce the dimension of an image,PCA (Principle Component Analysis) features are extracted from the amplitude spectrum of half-even face images. Finally, nearest neighbor classifier is employed for the task of classification. Experimental results on ORL database show that the proposed method outperforms in terms of accuracy the conventional eigenface method which applies PCA on original images and the eigenface method which uses both the original images and their mirror images as training set.

  5. Face Recognition using Optimal Representation Ensemble

    CERN Document Server

    Li, Hanxi; Gao, Yongsheng

    2011-01-01

    Recently, the face recognizers based on linear representations have been shown to deliver state-of-the-art performance. In real-world applications, however, face images usually suffer from expressions, disguises and random occlusions. The problematic facial parts undermine the validity of the linear-subspace assumption and thus the recognition performance deteriorates significantly. In this work, we address the problem in a learning-inference-mixed fashion. By observing that the linear-subspace assumption is more reliable on certain face patches rather than on the holistic face, some Bayesian Patch Representations (BPRs) are randomly generated and interpreted according to the Bayes' theory. We then train an ensemble model over the patch-representations by minimizing the empirical risk w.r.t the "leave-one-out margins". The obtained model is termed Optimal Representation Ensemble (ORE), since it guarantees the optimality from the perspective of Empirical Risk Minimization. To handle the unknown patterns in tes...

  6. Face logging in Copenhagen Limestone, Denmark

    DEFF Research Database (Denmark)

    Jakobsen, Lisa; Foged, Niels Nielsen; Erichsen, Lars;

    2015-01-01

    The requirement for excavation support can be assessed from face logging. Face logs can also improve our knowledge of lithological and structural conditions within bedrock and supplement information from boreholes and geophysical logs. During the construction of 8 km metro tunnel and 4 km heating...... tunnel in Copenhagen more than 2.5 km face logs were made in 467 locations at underground stations, shafts, caverns and along bored tunnels. Over 160 geotechnical boreholes, many with geophysical logging were executed prior to construction works. The bedrock consists of Paleogene "Copenhagen limestone......" and face logs show a sub-horizontally layered structure, with alternate extremely weak to extremely strong beds of variable thickness. The rhythmicity is thought to be climatically controlled. Stronger beds represent reduced sedimentation rate related to climatic deterioration while weaker beds result from...

  7. Quest Hierarchy for Hyperspectral Face Recognition

    Science.gov (United States)

    2011-03-01

    IEEE, 363-366 (2002). [40] Moghaddam, Baback and Ming-Hsuan Yang , “Learning Gender with Support Faces,” IEEE Transactions on Pattern Analysis and...64] Luo, Jun , Yong Ma, Erina Takikawa, Shihong Lao, Masato Kawade, Bao-Liang Lu, "Person-Specific SIFT Features for Face Recognition," IEEE...http://www.airforcetimes.com/news/2009/02/airforce_WAAS_021609/ [117] Capaccio, Tony , “Boeing Co. Drones Play Pivotal Role In War On Taliban, Al

  8. Learning PrimeFaces extensions development

    CERN Document Server

    Jonna, Sudheer

    2014-01-01

    This book provides a step by step approach that explains the most important extension components and their features. All the major features are explained by using the JobHub application with supporting screenshots.If you are an intermediate to advanced level user (or developer) who already has a basic working knowledge of PrimeFaces, then this book is for you.The only thing you need to know is Java Server Faces(JSF).

  9. Automatic Age Estimation System for Face Images

    OpenAIRE

    Chin-Teng Lin; Dong-Lin Li; Jian-Hao Lai; Ming-Feng Han; Jyh-Yeong Chang

    2012-01-01

    Humans are the most important tracking objects in surveillance systems. However, human tracking is not enough to provide the required information for personalized recognition. In this paper, we present a novel and reliable framework for automatic age estimation based on computer vision. It exploits global face features based on the combination of Gabor wavelets and orthogonal locality preserving projections. In addition, the proposed system can extract face aging features automatically in rea...

  10. Handsets Malware Threats and Facing Techniques

    CERN Document Server

    Elfattah, Marwa M A; Sarhan, Ebada

    2012-01-01

    Nowadays, mobile handsets combine the functionality of mobile phones and PDAs. Unfortunately, mobile handsets development process has been driven by market demand, focusing on new features and neglecting security. So, it is imperative to study the existing challenges that facing the mobile handsets threat containment process, and the different techniques and methodologies that used to face those challenges and contain the mobile handsets malwares. This paper also presents a new approach to group the different malware containment systems according to their typologies.

  11. Against Taking Linguistic Diversity at "Face Value"

    OpenAIRE

    Pesetsky, David

    2009-01-01

    Evans & Levinson (E&L)advocate taking linguistic diversity at "face value". Their argument consists of a list of diverse phenomena, and the assertion that no non-vacuous theory could possibly uncover a meaningful unity underlying them. I argue, with evidence from Tlingit and Warlpiri, that E&L's list itself should not be taken at face value — and that the actual research record already demonstrates unity amidst diversity.

  12. Eigenvector Weighting Function in Face Recognition

    Directory of Open Access Journals (Sweden)

    Pang Ying Han

    2011-01-01

    Full Text Available Graph-based subspace learning is a class of dimensionality reduction technique in face recognition. The technique reveals the local manifold structure of face data that hidden in the image space via a linear projection. However, the real world face data may be too complex to measure due to both external imaging noises and the intra-class variations of the face images. Hence, features which are extracted by the graph-based technique could be noisy. An appropriate weight should be imposed to the data features for better data discrimination. In this paper, a piecewise weighting function, known as Eigenvector Weighting Function (EWF, is proposed and implemented in two graph based subspace learning techniques, namely Locality Preserving Projection and Neighbourhood Preserving Embedding. Specifically, the computed projection subspace of the learning approach is decomposed into three partitions: a subspace due to intra-class variations, an intrinsic face subspace, and a subspace which is attributed to imaging noises. Projected data features are weighted differently in these subspaces to emphasize the intrinsic face subspace while penalizing the other two subspaces. Experiments on FERET and FRGC databases are conducted to show the promising performance of the proposed technique.

  13. Neural correlates of face gender discrimination learning.

    Science.gov (United States)

    Su, Junzhu; Tan, Qingleng; Fang, Fang

    2013-04-01

    Using combined psychophysics and event-related potentials (ERPs), we investigated the effect of perceptual learning on face gender discrimination and probe the neural correlates of the learning effect. Human subjects were trained to perform a gender discrimination task with male or female faces. Before and after training, they were tested with the trained faces and other faces with the same and opposite genders. ERPs responding to these faces were recorded. Psychophysical results showed that training significantly improved subjects' discrimination performance and the improvement was specific to the trained gender, as well as to the trained identities. The training effect indicates that learning occurs at two levels-the category level (gender) and the exemplar level (identity). ERP analyses showed that the gender and identity learning was associated with the N170 latency reduction at the left occipital-temporal area and the N170 amplitude reduction at the right occipital-temporal area, respectively. These findings provide evidence for the facilitation model and the sharpening model on neuronal plasticity from visual experience, suggesting a faster processing speed and a sparser representation of face induced by perceptual learning.

  14. Biased allocation of faces to social categories.

    Science.gov (United States)

    Dotsch, Ron; Wigboldus, Daniël H J; van Knippenberg, Ad

    2011-06-01

    Three studies show that social categorization is biased at the level of category allocation. In all studies, participants categorized faces. In Studies 1 and 2, participants overallocated faces with criminal features--a stereotypical negative trait--to the stigmatized Moroccan category, especially if they were prejudiced. On the contrary, the stereotype-irrelevant negative trait stupid did not lead to overallocation to the Moroccan category. In Study 3, using the stigmatized category homosexual, the previously used negative trait criminal--irrelevant to the homosexual stereotype--did not lead to overallocation, but the stereotype-relevant positive trait femininity did. These results demonstrate that normative fit is higher for faces with stereotype-relevant features regardless of valence. Moreover, individual differences in implicit prejudice predicted the extent to which stereotype-relevant traits elicited overallocation: Whereas more negatively prejudiced people showed greater overallocation of faces associated with negative stereotype-relevant traits, they showed less overallocation of faces associated with positive stereotype-relevant traits. These results support our normative fit hypothesis: In general, normative fit is better for faces with stereotypical features. Moreover, normative fit is enhanced for prejudiced individuals when these features are evaluatively congruent. Social categorization thus may be biased in itself.

  15. Learning Race from Face: A Survey.

    Science.gov (United States)

    Fu, Siyao; He, Haibo; Hou, Zeng-Guang

    2014-12-01

    Faces convey a wealth of social signals, including race, expression, identity, age and gender, all of which have attracted increasing attention from multi-disciplinary research, such as psychology, neuroscience, computer science, to name a few. Gleaned from recent advances in computer vision, computer graphics, and machine learning, computational intelligence based racial face analysis has been particularly popular due to its significant potential and broader impacts in extensive real-world applications, such as security and defense, surveillance, human computer interface (HCI), biometric-based identification, among others. These studies raise an important question: How implicit, non-declarative racial category can be conceptually modeled and quantitatively inferred from the face? Nevertheless, race classification is challenging due to its ambiguity and complexity depending on context and criteria. To address this challenge, recently, significant efforts have been reported toward race detection and categorization in the community. This survey provides a comprehensive and critical review of the state-of-the-art advances in face-race perception, principles, algorithms, and applications. We first discuss race perception problem formulation and motivation, while highlighting the conceptual potentials of racial face processing. Next, taxonomy of feature representational models, algorithms, performance and racial databases are presented with systematic discussions within the unified learning scenario. Finally, in order to stimulate future research in this field, we also highlight the major opportunities and challenges, as well as potentially important cross-cutting themes and research directions for the issue of learning race from face.

  16. Effectiveness of link prediction for face-to-face behavioral networks.

    Directory of Open Access Journals (Sweden)

    Sho Tsugawa

    Full Text Available Research on link prediction for social networks has been actively pursued. In link prediction for a given social network obtained from time-windowed observation, new link formation in the network is predicted from the topology of the obtained network. In contrast, recent advances in sensing technology have made it possible to obtain face-to-face behavioral networks, which are social networks representing face-to-face interactions among people. However, the effectiveness of link prediction techniques for face-to-face behavioral networks has not yet been explored in depth. To clarify this point, here we investigate the accuracy of conventional link prediction techniques for networks obtained from the history of face-to-face interactions among participants at an academic conference. Our findings were (1 that conventional link prediction techniques predict new link formation with a precision of 0.30-0.45 and a recall of 0.10-0.20, (2 that prolonged observation of social networks often degrades the prediction accuracy, (3 that the proposed decaying weight method leads to higher prediction accuracy than can be achieved by observing all records of communication and simply using them unmodified, and (4 that the prediction accuracy for face-to-face behavioral networks is relatively high compared to that for non-social networks, but not as high as for other types of social networks.

  17. Teleconference versus face-to-face scientific peer review of grant application: effects on review outcomes.

    Science.gov (United States)

    Gallo, Stephen A; Carpenter, Afton S; Glisson, Scott R

    2013-01-01

    Teleconferencing as a setting for scientific peer review is an attractive option for funding agencies, given the substantial environmental and cost savings. Despite this, there is a paucity of published data validating teleconference-based peer review compared to the face-to-face process. Our aim was to conduct a retrospective analysis of scientific peer review data to investigate whether review setting has an effect on review process and outcome measures. We analyzed reviewer scoring data from a research program that had recently modified the review setting from face-to-face to a teleconference format with minimal changes to the overall review procedures. This analysis included approximately 1600 applications over a 4-year period: two years of face-to-face panel meetings compared to two years of teleconference meetings. The average overall scientific merit scores, score distribution, standard deviations and reviewer inter-rater reliability statistics were measured, as well as reviewer demographics and length of time discussing applications. The data indicate that few differences are evident between face-to-face and teleconference settings with regard to average overall scientific merit score, scoring distribution, standard deviation, reviewer demographics or inter-rater reliability. However, some difference was found in the discussion time. These findings suggest that most review outcome measures are unaffected by review setting, which would support the trend of using teleconference reviews rather than face-to-face meetings. However, further studies are needed to assess any correlations among discussion time, application funding and the productivity of funded research projects.

  18. Age-related face processing bias in infancy: evidence of perceptual narrowing for adult faces.

    Science.gov (United States)

    Macchi Cassia, Viola; Bulf, Hermann; Quadrelli, Ermanno; Proietti, Valentina

    2014-02-01

    Recent data demonstrate a perceptual processing advantage for adult faces in both adults and young children, suggesting that face representation is shaped by visual experience accumulated with different face-age groups. As for species and race, this age bias may emerge during the first year of life as part of the general process of perceptual narrowing, given the extensive amount of social and perceptual experience accumulated with caregivers and/or other adult individuals. Using infant-controlled habituation and visual-paired comparison at test, two experiments were carried out to examine 3- and 9-month-olds' ability to discriminate within adult and infant faces. Results showed that, when they are provided with adequate time to visually compare the stimuli during test trials (Experiment 2), 3-month-olds exhibit above-chance discrimination of adult and infant faces. Instead, 9-month-olds discriminate adult faces but not infant faces (Experiments 1 and 2). Results provide the first evidence of age-related face processing biases in infancy, and show that by 9 months face representations tune to adult human faces.

  19. Knowledge retention in capstone experiences: An analysis of online and face-to-face courses

    Directory of Open Access Journals (Sweden)

    John P. Girard

    2016-12-01

    Full Text Available This research chronicles the development of a capstone experience by a regional comprehensive university. The process began with a multi-year project during which the faculty annually reviewed the results with a view to determining if the class provided the deep learning culminating experiences anticipated. A major measure of success was the desire to replicate the deep learning common in face-to-face classes in the online environment. The results of 166 students were analyzed, 82 online and 84 face-to-face, to determine if a difference existed. A one-way ANOVA tested the score differences among 10 sections and determined the students’ scores did not differ significantly. Finally, a two-sample t-test between proportions determined that there was not a significant difference between the online and face-to-face students with respect to the level of assessment scores earned. Given that online and face-to-face students demonstrate the same level of knowledge, does this beg the question, what value does face-to-face class time offer?

  20. Expression modeling for expression-invariant face recognition

    NARCIS (Netherlands)

    Haar, F.B. Ter; Veltkamp, R.C.

    2010-01-01

    Morphable face models have proven to be an effective tool for 3D face modeling and face recognition, but the extension to 3D face scans with expressions is still a challenge. The two main difficulties are (1) how to build a new morphable face model that deals with expressions, and (2) how to fit thi

  1. Gender-Based Prototype Formation in Face Recognition

    Science.gov (United States)

    Baudouin, Jean-Yves; Brochard, Renaud

    2011-01-01

    The role of gender categories in prototype formation during face recognition was investigated in 2 experiments. The participants were asked to learn individual faces and then to recognize them. During recognition, individual faces were mixed with faces, which were blended faces of same or different genders. The results of the 2 experiments showed…

  2. Dissociating Face Identity and Facial Expression Processing Via Visual Adaptation

    Directory of Open Access Journals (Sweden)

    Hong Xu

    2012-10-01

    Full Text Available Face identity and facial expression are processed in two distinct neural pathways. However, most of the existing face adaptation literature studies them separately, despite the fact that they are two aspects from the same face. The current study conducted a systematic comparison between these two aspects by face adaptation, investigating how top- and bottom-half face parts contribute to the processing of face identity and facial expression. A real face (sad, “Adam” and its two size-equivalent face parts (top- and bottom-half were used as the adaptor in separate conditions. For face identity adaptation, the test stimuli were generated by morphing Adam's sad face with another person's sad face (“Sam”. For facial expression adaptation, the test stimuli were created by morphing Adam's sad face with his neutral face and morphing the neutral face with his happy face. In each trial, after exposure to the adaptor, observers indicated the perceived face identity or facial expression of the following test face via a key press. They were also tested in a baseline condition without adaptation. Results show that the top- and bottom-half face each generated a significant face identity aftereffect. However, the aftereffect by top-half face adaptation is much larger than that by the bottom-half face. On the contrary, only the bottom-half face generated a significant facial expression aftereffect. This dissociation of top- and bottom-half face adaptation suggests that face parts play different roles in face identity and facial expression. It thus provides further evidence for the distributed systems of face perception.

  3. Using online learning in a traditional face-to-face environment.

    Science.gov (United States)

    Kozlowski, Dawn

    2002-01-01

    A model for designing online learning was developed and implemented in a Registered Nurse-to-Bachelor of Science in Nursing course using online and face-to-face methodologies. The combination of online and face-to-face learning modalities may help the student who is a novice Internet explorer or seasoned Web navigator by offering technological support as well as providing constant in-person feedback regarding course requirements. The face-to-face component facilitates a sense of community and peer support that sometimes is lacking in an entirely online course. During the 2 semesters this model was used, students expressed satisfaction with having the course facilitator/professor physically available for consultation and advisement. Evaluation of this online/on-site course is ongoing and uses computer-administered qualitative questionnaires, a facilitator-moderated focus group, and Likert-type course evaluations.

  4. The university student experience of face-to-face and online discussions: coherence, reflection and meaning

    Directory of Open Access Journals (Sweden)

    Robert A. Ellis

    2007-12-01

    Full Text Available This paper reports on an investigation into learning through discussions by undergraduate social work students. Second-year students studying psychology for social work experienced discussions began with face-to-face tutorials, and then continued for some time after online. This study used closed-ended questionnaires to investigate what students thought they were learning through discussions (their concepts, and how they engaged in the discussions face-to-face and online (their approaches. Significant associations were found among students' concepts of discussions, approaches and levels of achievement. The results suggest that students who do not understand how discussions can help them to interrogate, reflect on and revise their ideas tended not to approach either face-to-face or online discussions in ways likely to improve their understanding or their levels of achievement. This type of insight is critical for teacher/designers wishing to create university experiences in which discussion is used to promote learning.

  5. Faces in the dark: Interactive effects of darkness and anxiety on the memory for threatening faces.

    Directory of Open Access Journals (Sweden)

    Satoshi F Nakashima

    2014-10-01

    Full Text Available In the current research, we extend past work on the effects of ambient darkness and threat to the domain of memory for expressive faces. In one study, we examined the effects of ambient darkness and individual differences in state anxiety on memory of unfamiliar expressive faces. Here, participants were seated in either a dark or light room and encoded a set of unfamiliar faces with angry, happy, and neutral facial expressions. A subsequent recognition task revealed an interactive effect of ambient darkness, anxiety, and target expression. Highly anxious participants in ambient darkness had worse memory for angry faces than did low-anxiety participants. On the other hand, the recognition performance for happy faces was affected neither by the darkness nor state anxiety. The results suggest not only that ambient darkness has its strongest effect on anxious perceivers, but also that person x situation effects should be considered in face recognition research.

  6. Modelling temporal networks of human face-to-face contacts with public activity and individual reachability

    Science.gov (United States)

    Zhang, Yi-Qing; Cui, Jing; Zhang, Shu-Min; Zhang, Qi; Li, Xiang

    2016-02-01

    Modelling temporal networks of human face-to-face contacts is vital both for understanding the spread of airborne pathogens and word-of-mouth spreading of information. Although many efforts have been devoted to model these temporal networks, there are still two important social features, public activity and individual reachability, have been ignored in these models. Here we present a simple model that captures these two features and other typical properties of empirical face-to-face contact networks. The model describes agents which are characterized by an attractiveness to slow down the motion of nearby people, have event-triggered active probability and perform an activity-dependent biased random walk in a square box with periodic boundary. The model quantitatively reproduces two empirical temporal networks of human face-to-face contacts which are testified by their network properties and the epidemic spread dynamics on them.

  7. Photogrammetric Network for Evaluation of Human Faces for Face Reconstruction Purpose

    Science.gov (United States)

    Schrott, P.; Detrekői, Á.; Fekete, K.

    2012-08-01

    Facial reconstruction is the process of reconstructing the geometry of faces of persons from skeletal remains. A research group (BME Cooperation Research Center for Biomechanics) was formed representing several organisations to combine knowledgebases of different disciplines like anthropology, medical, mechanical, archaeological sciences etc. to computerize the face reconstruction process based on a large dataset of 3D face and skull models gathered from living persons: cranial data from CT scans and face models from photogrammetric evaluations. The BUTE Dept. of Photogrammetry and Geoinformatics works on the method and technology of the 3D data acquisition for the face models. In this paper we will present the research and results of the photogrammetric network design, the modelling to deal with visibility constraints, and the investigation of the developed basic photogrammetric configuration to specify the result characteristics to be expected using the device built for the photogrammetric face measurements.

  8. Teaching Time Investment: Does Online Really Take More Time than Face-to-Face?

    Directory of Open Access Journals (Sweden)

    Rebecca Van de Vord

    2012-06-01

    Full Text Available Enrollments in online programs are growing, increasing demand for online courses. The perception that teaching online takes more time than teaching face-to-face creates concerns related to faculty workload. To date, the research on teaching time does not provide a clear answer as to the accuracy of this perception. This study was designed to investigate which aspects, if any, are more time consuming for instructors teaching in the online environment. Time logs were kept by four online instructors (eight classes and six on-campus instructors (six classes through six weeks of the 15-week semester. Results indicated that, overall, face-to-face teaching required more time per student, but certain aspects of online teaching take considerably more time per student than in the face-to-face classroom.

  9. A Benchmark and Comparative Study of Video-Based Face Recognition on COX Face Database.

    Science.gov (United States)

    Huang, Zhiwu; Shan, Shiguang; Wang, Ruiping; Zhang, Haihong; Lao, Shihong; Kuerban, Alifu; Chen, Xilin

    2015-12-01

    Face recognition with still face images has been widely studied, while the research on video-based face recognition is inadequate relatively, especially in terms of benchmark datasets and comparisons. Real-world video-based face recognition applications require techniques for three distinct scenarios: 1) Videoto-Still (V2S); 2) Still-to-Video (S2V); and 3) Video-to-Video (V2V), respectively, taking video or still image as query or target. To the best of our knowledge, few datasets and evaluation protocols have benchmarked for all the three scenarios. In order to facilitate the study of this specific topic, this paper contributes a benchmarking and comparative study based on a newly collected still/video face database, named COX(1) Face DB. Specifically, we make three contributions. First, we collect and release a largescale still/video face database to simulate video surveillance with three different video-based face recognition scenarios (i.e., V2S, S2V, and V2V). Second, for benchmarking the three scenarios designed on our database, we review and experimentally compare a number of existing set-based methods. Third, we further propose a novel Point-to-Set Correlation Learning (PSCL) method, and experimentally show that it can be used as a promising baseline method for V2S/S2V face recognition on COX Face DB. Extensive experimental results clearly demonstrate that video-based face recognition needs more efforts, and our COX Face DB is a good benchmark database for evaluation.

  10. Informal Face-to-Face Interaction Improves Mood State Reflected in Prefrontal Cortex Activity

    Science.gov (United States)

    Watanabe, Jun-ichiro; Atsumori, Hirokazu; Kiguchi, Masashi

    2016-01-01

    Recent progress with wearable sensors has enabled researchers to capture face-to-face interactions quantitatively and given great insight into human dynamics. One attractive field for applying such sensors is the workplace, where the relationship between the face-to-face behaviors of employees and the productivity of the organization has been investigated. One interesting result of previous studies showed that informal face-to-face interaction among employees, captured by wearable sensors that the employees wore, significantly affects their performance. However, the mechanism behind this relationship has not yet been adequately explained, though experiences at the job scene might qualitatively support the finding. We hypothesized that informal face-to-face interaction improves mood state, which in turn affects the task performance. To test this hypothesis, we evaluated the change of mood state before and after break time for two groups of participants, one that spent their breaks alone and one that spent them with other participants, by administering questionnaires and taking brain activity measurements. Recent neuroimaging studies have suggested a significant relationship between mood state and brain activity. Here, we show that face-to-face interaction during breaks significantly improved mood state, which was measured by Profiles of Mood States (POMS). We also observed that the verbal working memory (WM) task performance of participants who did not have face-to-face interaction during breaks decreased significantly. In this paper, we discuss how the change of mood state was evidenced in the prefrontal cortex (PFC) activity accompanied by WM tasks measured by near-infrared spectroscopy (NIRS). PMID:27199715

  11. Face-blind for other-race faces: Individual differences in other-race recognition impairments.

    Science.gov (United States)

    Wan, Lulu; Crookes, Kate; Dawel, Amy; Pidcock, Madeleine; Hall, Ashleigh; McKone, Elinor

    2017-01-01

    We report the existence of a previously undescribed group of people, namely individuals who are so poor at recognition of other-race faces that they meet criteria for clinical-level impairment (i.e., they are "face-blind" for other-race faces). Testing 550 participants, and using the well-validated Cambridge Face Memory Test for diagnosing face blindness, results show the rate of other-race face blindness to be nontrivial, specifically 8.1% of Caucasians and Asians raised in majority own-race countries. Results also show risk factors for other-race face blindness to include: a lack of interracial contact; and being at the lower end of the normal range of general face recognition ability (i.e., even for own-race faces); but not applying less individuating effort to other-race than own-race faces. Findings provide a potential resolution of contradictory evidence concerning the importance of the other-race effect (ORE), by explaining how it is possible for the mean ORE to be modest in size (suggesting a genuine but minor problem), and simultaneously for individuals to suffer major functional consequences in the real world (e.g., eyewitness misidentification of other-race offenders leading to wrongful imprisonment). Findings imply that, in legal settings, evaluating an eyewitness's chance of having made an other-race misidentification requires information about the underlying face recognition abilities of the individual witness. Additionally, analogy with prosopagnosia (inability to recognize even own-race faces) suggests everyday social interactions with other-race people, such as those between colleagues in the workplace, will be seriously impacted by the ORE in some people. (PsycINFO Database Record

  12. Informal face-to-face interaction improves mood state reflected in prefrontal cortex activity

    Directory of Open Access Journals (Sweden)

    Jun-Ichiro eWatanabe

    2016-05-01

    Full Text Available Recent progress with wearable sensors has enabled researchers to capture face-to-face interactions quantitatively and given great insight into human dynamics. One attractive field for applying such sensors is the workplace, where the relationship between the face-to-face behaviors of employees and the productivity of the organization has been investigated. One interesting result of previous studies showed that informal face-to-face interaction among employees, captured by wearable sensors that the employees wore, significantly affects their performance. However, the mechanism behind this relationship has not yet been adequately explained, though experiences at the job scene might qualitatively support the finding. We hypothesized that informal face-to-face interaction improves mood state, which in turn affects the task performance. To test this hypothesis, we evaluated the change of mood state before and after break time for two groups of participants, one that spent their breaks alone and one that spent them with other participants, by administering questionnaires and taking brain activity measurements. Recent neuroimaging studies have suggested a significant relationship between mood state and brain activity. Here, we show that face-to-face interaction during breaks significantly improved mood state, which was measured by Profiles of Mood States (POMS.We also observed that the verbal WM task performance of participants who did not have face-to-face interaction during breaks decreased significantly. In this paper, we discuss how the change of mood state was evidenced in the prefrontal cortex (PFC activity accompanied by working memory (WM tasks measured by near-infrared spectroscopy (NIRS.

  13. Comparison of Face-to-Face and Web Surveys on the Topic of Homosexual Rights.

    Science.gov (United States)

    Liu, Mingnan; Wang, Yichen

    2016-06-01

    Although academic research on homosexuality relies heavily on survey data, there has been limited study of the survey method of asking relevant questions. This study examines the effect of survey mode on responses to questions about homosexual rights. We find significant mode effects among heterosexual respondents, who are more likely to support equal access to employment, military service, adoption, and marriage for homosexual people in face-to-face surveys than in Web surveys. They are also more likely to choose to not respond when face-to-face than online. Homosexual respondents do not show mode effects for either substantive responses or item nonresponse rate.

  14. Adaptive WildNet Face network for detecting face in the wild

    Science.gov (United States)

    Nguyen, Dinh-Luan; Nguyen, Vinh-Tiep; Tran, Minh-Triet; Yoshitaka, Atsuo

    2015-12-01

    Combining Convolutional Neural Network and Deformable Part Models is a new trend in object detection area. Following this trend, we propose Adaptive WildNet Face network using Deformable Part Models structure to exploit advantages of two methods in face detection area. We evaluate the merit of our method on Face Detection Data Set and Benchmark. Experimental results show that our method achieves up to 86.22% true positive images in 1000 false positive images in FDDB. Our method becomes one of state-of-the-art methods in FDDB dataset and it opens a new way to detect faces of images in the wild.

  15. Orienting to face expression during encoding improves men's recognition of own gender faces.

    Science.gov (United States)

    Fulton, Erika K; Bulluck, Megan; Hertzog, Christopher

    2015-10-01

    It is unclear why women have superior episodic memory of faces, but the benefit may be partially the result of women engaging in superior processing of facial expressions. Therefore, we hypothesized that orienting instructions to attend to facial expression at encoding would significantly improve men's memory of faces and possibly reduce gender differences. We directed 203 college students (122 women) to study 120 faces under instructions to orient to either the person's gender or their emotional expression. They later took a recognition test of these faces by either judging whether they had previously studied the same person or that person with the exact same expression; the latter test evaluated recollection of specific facial details. Orienting to facial expressions during encoding significantly improved men's recognition of own-gender faces and eliminated the advantage that women had for male faces under gender orienting instructions. Although gender differences in spontaneous strategy use when orienting to faces cannot fully account for gender differences in face recognition, orienting men to facial expression during encoding is one way to significantly improve their episodic memory for male faces.

  16. Does my face FIT?: a face image task reveals structure and distortions of facial feature representation.

    Directory of Open Access Journals (Sweden)

    Christina T Fuentes

    Full Text Available Despite extensive research on face perception, few studies have investigated individuals' knowledge about the physical features of their own face. In this study, 50 participants indicated the location of key features of their own face, relative to an anchor point corresponding to the tip of the nose, and the results were compared to the true location of the same individual's features from a standardised photograph. Horizontal and vertical errors were analysed separately. An overall bias to underestimate vertical distances revealed a distorted face representation, with reduced face height. Factor analyses were used to identify separable subconfigurations of facial features with correlated localisation errors. Independent representations of upper and lower facial features emerged from the data pattern. The major source of variation across individuals was in representation of face shape, with a spectrum from tall/thin to short/wide representation. Visual identification of one's own face is excellent, and facial features are routinely used for establishing personal identity. However, our results show that spatial knowledge of one's own face is remarkably poor, suggesting that face representation may not contribute strongly to self-awareness.

  17. AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION

    Directory of Open Access Journals (Sweden)

    K. Meena

    2013-11-01

    Full Text Available Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features. To resolve this, illumination normalization preprocessing techniques are employed in this paper to enhance the face recognition rate. The methods such as Histogram Equalization (HE, Gamma Intensity Correction (GIC, Normalization chain and Modified Homomorphic Filtering (MHF are used for preprocessing. Owing to great success, the texture features are commonly used for face recognition. But these features are severely affected by lighting changes. Hence texture based models Local Binary Pattern (LBP, Local Derivative Pattern (LDP, Local Texture Pattern (LTP and Local Tetra Patterns (LTrPs are experimented under different lighting conditions. In this paper, illumination invariant face recognition technique is developed based on the fusion of illumination preprocessing with local texture descriptors. The performance has been evaluated using YALE B and CMU-PIE databases containing more than 1500 images. The results demonstrate that MHF based normalization gives significant improvement in recognition rate for the face images with large illumination conditions.

  18. Recognizing disguised faces: human and machine evaluation.

    Directory of Open Access Journals (Sweden)

    Tejas Indulal Dhamecha

    Full Text Available Face verification, though an easy task for humans, is a long-standing open research area. This is largely due to the challenging covariates, such as disguise and aging, which make it very hard to accurately verify the identity of a person. This paper investigates human and machine performance for recognizing/verifying disguised faces. Performance is also evaluated under familiarity and match/mismatch with the ethnicity of observers. The findings of this study are used to develop an automated algorithm to verify the faces presented under disguise variations. We use automatically localized feature descriptors which can identify disguised face patches and account for this information to achieve improved matching accuracy. The performance of the proposed algorithm is evaluated on the IIIT-Delhi Disguise database that contains images pertaining to 75 subjects with different kinds of disguise variations. The experiments suggest that the proposed algorithm can outperform a popular commercial system and evaluates them against humans in matching disguised face images.

  19. [Face recognition in patients with schizophrenia].

    Science.gov (United States)

    Doi, Hirokazu; Shinohara, Kazuyuki

    2012-07-01

    It is well known that patients with schizophrenia show severe deficiencies in social communication skills. These deficiencies are believed to be partly derived from abnormalities in face recognition. However, the exact nature of these abnormalities exhibited by schizophrenic patients with respect to face recognition has yet to be clarified. In the present paper, we review the main findings on face recognition deficiencies in patients with schizophrenia, particularly focusing on abnormalities in the recognition of facial expression and gaze direction, which are the primary sources of information of others' mental states. The existing studies reveal that the abnormal recognition of facial expression and gaze direction in schizophrenic patients is attributable to impairments in both perceptual processing of visual stimuli, and cognitive-emotional responses to social information. Furthermore, schizophrenic patients show malfunctions in distributed neural regions, ranging from the fusiform gyrus recruited in the structural encoding of facial stimuli, to the amygdala which plays a primary role in the detection of the emotional significance of stimuli. These findings were obtained from research in patient groups with heterogeneous characteristics. Because previous studies have indicated that impairments in face recognition in schizophrenic patients might vary according to the types of symptoms, it is of primary importance to compare the nature of face recognition deficiencies and the impairments of underlying neural functions across sub-groups of patients.

  20. Fiber coupler end face wavefront surface metrology

    Science.gov (United States)

    Compertore, David C.; Ignatovich, Filipp V.; Marcus, Michael A.

    2015-09-01

    Despite significant technological advances in the field of fiber optic communications, one area remains surprisingly `low-tech': fiber termination. In many instances it involves manual labor and subjective visual inspection. At the same time, high quality fiber connections are one of the most critical parameters in constructing an efficient communication link. The shape and finish of the fiber end faces determines the efficiency of a connection comprised of coupled fiber end faces. The importance of fiber end face quality becomes even more critical for fiber connection arrays and for in the field applications. In this article we propose and demonstrate a quantitative inspection method for the fiber connectors using reflected wavefront technology. The manufactured and polished fiber tip is illuminated by a collimated light from a microscope objective. The reflected light is collected by the objective and is directed to a Shack-Hartmann wavefront sensor. A set of lenses is used to create the image of the fiber tip on the surface of the sensor. The wavefront is analyzed by the sensor, and the measured parameters are used to obtain surface properties of the fiber tip, and estimate connection loss. For example, defocus components in the reflected light indicate the presence of bow in the fiber end face. This inspection method provides a contact-free approach for quantitative inspection of fiber end faces and for estimating the connection loss, and can potentially be integrated into a feedback system for automated inspection and polishing of fiber tips and fiber tip arrays.

  1. Is Mexico Ready for Face Transplantation?

    Science.gov (United States)

    Iglesias, M; Butrón, P; Osuna-Leal, A I; Abarca-Perez, L; Sosa-Ascencio, M J; Moran-Romero, M A; Cruz-Reyes, A U; Pineda-Gutierrez, F J; Leon-Lopez, D A; García-Alvarez, M N; Alberu, J; Vilatoba, M; Leal-Villalpando, R P; Zamudio-Bautista, J; Acosta-Nava, V M; Gonzalez, J

    2015-01-01

    With the limitations of surgical reconstructive procedures, the growing number of gunshot wounds, burns, and work accidents in Mexico that result in complex facial deformities leaves only 1 option-face transplantation. The National Institute of Medical Sciences and Nutrition "Salvador Zubiran" (INCMNSZ) has performed transplants since 1971. We at INCMNSZ undertook the 1st bilateral upper-limb transplantation in Latin America in 2012. We are willing to continue in this manner toward conducting face transplantation at our institute. To this end, we identified and solved various challenges. The 1st challenge was acceptance and inclusion of vascularized composite allotransplantation (VCA) within general Mexican health law and approval of the face transplantation procedure. Subsequently, the health ministry provided a license to INCMNSZ to perform the procedure. The 2nd challenge concerned who would pay for the procedure. The costs will be paid by the patient (1st-party payer), social security institutions (2nd-party payers), and the health ministry (3rd-party payer). The 3rd challenge was to maintain ongoing surgical training of the team using cadavers. The fourth challenge was to locate donors; toward this end, we developed a campaign for promoting face donation in social media, making a comic book, and training organ and tissue coordinators to further VCA. Thus, INCMNSZ has the legal, administrative, medical, and surgical wherewithal to accomplish face transplantation.

  2. Influence of motion on face recognition.

    Science.gov (United States)

    Bonfiglio, Natale S; Manfredi, Valentina; Pessa, Eliano

    2012-02-01

    The influence of motion information and temporal associations on recognition of non-familiar faces was investigated using two groups which performed a face recognition task. One group was presented with regular temporal sequences of face views designed to produce the impression of motion of the face rotating in depth, the other group with random sequences of the same views. In one condition, participants viewed the sequences of the views in rapid succession with a negligible interstimulus interval (ISI). This condition was characterized by three different presentation times. In another condition, participants were presented a sequence with a 1-sec. ISI among the views. That regular sequences of views with a negligible ISI and a shorter presentation time were hypothesized to give rise to better recognition, related to a stronger impression of face rotation. Analysis of data from 45 participants showed a shorter presentation time was associated with significantly better accuracy on the recognition task; however, differences between performances associated with regular and random sequences were not significant.

  3. Personality judgments from everyday images of faces.

    Science.gov (United States)

    Sutherland, Clare A M; Rowley, Lauren E; Amoaku, Unity T; Daguzan, Ella; Kidd-Rossiter, Kate A; Maceviciute, Ugne; Young, Andrew W

    2015-01-01

    People readily make personality attributions to images of strangers' faces. Here we investigated the basis of these personality attributions as made to everyday, naturalistic face images. In a first study, we used 1000 highly varying "ambient image" face photographs to test the correspondence between personality judgments of the Big Five and dimensions known to underlie a range of facial first impressions: approachability, dominance, and youthful-attractiveness. Interestingly, the facial Big Five judgments were found to separate to some extent: judgments of openness, extraversion, emotional stability, and agreeableness were mainly linked to facial first impressions of approachability, whereas conscientiousness judgments involved a combination of approachability and dominance. In a second study we used average face images to investigate which main cues are used by perceivers to make impressions of the Big Five, by extracting consistent cues to impressions from the large variation in the original images. When forming impressions of strangers from highly varying, naturalistic face photographs, perceivers mainly seem to rely on broad facial cues to approachability, such as smiling.

  4. Personality judgments from everyday images of faces

    Directory of Open Access Journals (Sweden)

    Clare AM Sutherland

    2015-10-01

    Full Text Available People readily make personality attributions to images of strangers’ faces. Here we investigated the basis of these personality attributions as made to everyday, naturalistic face images. In a first study, we used 1,000 highly varying ‘ambient image’ face photographs to test the correspondence between personality judgments of the Big Five and dimensions known to underlie a range of facial first impressions: approachability, dominance and youthful-attractiveness. Interestingly, the facial Big Five judgments were found to separate to some extent: judgments of openness, extraversion, emotional stability and agreeableness were mainly linked to facial first impressions of approachability, whereas conscientiousness judgments involved a combination of approachability and dominance. In a second study we used average face images to investigate which main cues are used by perceivers to make impressions of the Big Five, by extracting consistent cues to impressions from the large variation in the original images. When forming impressions of strangers from highly varying, naturalistic face photographs, perceivers mainly seem to rely on broad facial cues to approachability, such as smiling.

  5. Supreme Court rejects challenge to FACE.

    Science.gov (United States)

    1996-10-25

    On October 7, the US Supreme Court declined to hear Skott vs. US, a case challenging the Freedom of Access to Clinic Entrances Act (FACE). The 1994 law makes it a federal crime to use or attempt to use force, threat of force, or physical obstruction to injure, intimidate, or interfere with reproductive health care providers and their patients. The case came to the High Court after the US Court of Appeals for the Seventh Circuit overturned an earlier district court ruling and upheld the constitutionality of the federal statute in December 1995. Six Wisconsin anti-choice protestors, who had been arrested in September 1994 after participating in a blockade of a Milwaukee women's health facility, had successfully petitioned the US District Court for the Eastern District of Wisconsin to dismiss criminal charges based on FACE. While the district court held that Congress had no authority under the Commerce Clause or under the Fourteenth Amendment of the US Constitution to enact FACE, the appellate panel found that the lower court had not given sufficient consideration to congressional findings that the activities restricted by FACE substantially affect interstate commerce and are subject to the regulatory power of Congress. FACE has been upheld by the US Courts of Appeal for the Fourth, Eighth, and Eleventh Circuits and eleven federal district courts. Two district courts have found the law invalid. This marks the third time the High Court has refused to hear a challenge to the law.

  6. Face Recognition Based on Principal Component Analysis

    Directory of Open Access Journals (Sweden)

    Ali Javed

    2013-02-01

    Full Text Available The purpose of the proposed research work is to develop a computer system that can recognize a person by comparing the characteristics of face to those of known individuals. The main focus is on frontal two dimensional images that are taken in a controlled environment i.e. the illumination and the background will be constant. All the other methods of person’s identification and verification like iris scan or finger print scan require high quality and costly equipment’s but in face recognition we only require a normal camera giving us a 2-D frontal image of the person that will be used for the process of the person’s recognition. Principal Component Analysis technique has been used in the proposed system of face recognition. The purpose is to compare the results of the technique under the different conditions and to find the most efficient approach for developing a facial recognition system

  7. A connectionist computational method for face recognition

    Directory of Open Access Journals (Sweden)

    Pujol Francisco A.

    2016-06-01

    Full Text Available In this work, a modified version of the elastic bunch graph matching (EBGM algorithm for face recognition is introduced. First, faces are detected by using a fuzzy skin detector based on the RGB color space. Then, the fiducial points for the facial graph are extracted automatically by adjusting a grid of points to the result of an edge detector. After that, the position of the nodes, their relation with their neighbors and their Gabor jets are calculated in order to obtain the feature vector defining each face. A self-organizing map (SOM framework is shown afterwards. Thus, the calculation of the winning neuron and the recognition process are performed by using a similarity function that takes into account both the geometric and texture information of the facial graph. The set of experiments carried out for our SOM-EBGM method shows the accuracy of our proposal when compared with other state-of the-art methods.

  8. Damage modelling in plasma facing components

    Energy Technology Data Exchange (ETDEWEB)

    Martin, E. [Universite Bordeaux 1, UMR 5801 (CNRS-SPS-CEA-UB1), Laboratoire des Composites Thermostructuraux, F-33600 Pessac (France)], E-mail: martin@lcts.u-bordeaux1.fr; Camus, G. [Universite Bordeaux 1, UMR 5801 (CNRS-SPS-CEA-UB1), Laboratoire des Composites Thermostructuraux, F-33600 Pessac (France); Schlosser, J.; Chevet, G. [Association Euratom-CEA, DSM/DRFC, CEA Cadarache, St. Paul Lez Durance (France)

    2009-04-30

    The plasma facing components of controlled fusion devices are submitted to high heat fluxes in operating conditions (from 10 to 20 MW/m{sup 2}). These components are made of a carbon/carbon composite tile bonded to a copper alloy heat sink. Due to the thermal expansion mismatch between the composite and the copper alloy, significant stresses may develop during fabrication and under heat load inducing damage in the composite material as well as at the copper/composite interface. The present study describes a modelling approach aimed at predicting damage development in plasma facing components. For this purpose, damage laws related to the non-linear behaviour of both the composite material and the copper/composite joint have been identified. These constitutive laws were then introduced in a numerical model representative of a plasma facing component. Results show the development of damage within the assembly submitted to a heat load.

  9. Human Face Recognition using Line Features

    CERN Document Server

    Bhowmik, Mrinal Kanti; Nasipuri, Mita; Basu, Dipak Kumar; Kundu, Mahantapas

    2010-01-01

    In this work we investigate a novel approach to handle the challenges of face recognition, which includes rotation, scale, occlusion, illumination etc. Here, we have used thermal face images as those are capable to minimize the affect of illumination changes and occlusion due to moustache, beards, adornments etc. The proposed approach registers the training and testing thermal face images in polar coordinate, which is capable to handle complicacies introduced by scaling and rotation. Line features are extracted from thermal polar images and feature vectors are constructed using these line. Feature vectors thus obtained passes through principal component analysis (PCA) for the dimensionality reduction of feature vectors. Finally, the images projected into eigenspace are classified using a multi-layer perceptron. In the experiments we have used Object Tracking and Classification Beyond Visible Spectrum (OTCBVS) database. Experimental results show that the proposed approach significantly improves the verificatio...

  10. Faces of platonic solids in all dimensions

    CERN Document Server

    Szajewska, Marzena

    2012-01-01

    This paper considers Platonic solids/polytopes in the real Euclidean space R^n of dimension 3 <= n < infinity. The Platonic solids/polytopes are described together with their faces of dimensions 0 <= d <= n-1. Dual pairs of Platonic polytopes are considered in parallel. The underlying fi?nite Coxeter groups are those of simple Lie algebras of types An, Bn, Cn, F4 and of non-crystallographic Coxeter groups H3, H4. Our method consists in recursively decorating the appropriate Coxeter-Dynkin diagram. Each recursion step provides the essential information about faces of a speci?c dimension. If, at each recursion step, all of the faces are in the same Coxeter group orbit, i.e. are identical, the solid is called Platonic.

  11. Congenital prosopagnosia: face-blind from birth.

    Science.gov (United States)

    Behrmann, Marlene; Avidan, Galia

    2005-04-01

    Congenital prosopagnosia refers to the deficit in face processing that is apparent from early childhood in the absence of any underlying neurological basis and in the presence of intact sensory and intellectual function. Several such cases have been described recently and elucidating the mechanisms giving rise to this impairment should aid our understanding of the psychological and neural mechanisms mediating face processing. Fundamental questions include: What is the nature and extent of the face-processing deficit in congenital prosopagnosia? Is the deficit related to a more general perceptual deficit such as the failure to process configural information? Are any neural alterations detectable using fMRI, ERP or structural analyses of the anatomy of the ventral visual cortex? We discuss these issues in relation to the existing literature and suggest directions for future research.

  12. Voice Recognition in Face-Blind Patients.

    Science.gov (United States)

    Liu, Ran R; Pancaroglu, Raika; Hills, Charlotte S; Duchaine, Brad; Barton, Jason J S

    2016-04-01

    Right or bilateral anterior temporal damage can impair face recognition, but whether this is an associative variant of prosopagnosia or part of a multimodal disorder of person recognition is an unsettled question, with implications for cognitive and neuroanatomic models of person recognition. We assessed voice perception and short-term recognition of recently heard voices in 10 subjects with impaired face recognition acquired after cerebral lesions. All 4 subjects with apperceptive prosopagnosia due to lesions limited to fusiform cortex had intact voice discrimination and recognition. One subject with bilateral fusiform and anterior temporal lesions had a combined apperceptive prosopagnosia and apperceptive phonagnosia, the first such described case. Deficits indicating a multimodal syndrome of person recognition were found only in 2 subjects with bilateral anterior temporal lesions. All 3 subjects with right anterior temporal lesions had normal voice perception and recognition, 2 of whom performed normally on perceptual discrimination of faces. This confirms that such lesions can cause a modality-specific associative prosopagnosia.

  13. Realistic face modeling based on multiple deformations

    Institute of Scientific and Technical Information of China (English)

    GONG Xun; WANG Guo-yin

    2007-01-01

    On the basis of the assumption that the human face belongs to a linear class, a multiple-deformation model is proposed to recover face shape from a few points on a single 2D image. Compared to the conventional methods, this study has the following advantages. First, the proposed modified 3D sparse deforming model is a noniterative approach that can compute global translation efficiently and accurately. Subsequently, the overfitting problem can be alleviated based on the proposed multiple deformation model. Finally, by keeping the main features, the texture generated is realistic. The comparison results show that this novel method outperforms the existing methods by using ground truth data and that realistic 3D faces can be recovered efficiently from a single photograph.

  14. Towards Designing Android Faces after Actual Humans

    DEFF Research Database (Denmark)

    Vlachos, Evgenios; Schärfe, Henrik

    2015-01-01

    Using their face as their prior affective interface, android robots and other agents embody emotional facial expressions, and convey messages on their identity, gender, age, race, and attractiveness. We are examining whether androids can convey emotionally relevant information via their static...... facial sig-nals, just as humans do. Based on the fact that social information can be accu-rately identified from still images of nonexpressive unknown faces, a judgment paradigm was employed to discover, and compare the style of facial expres-sions of the Geminoid-DK android (modeled after an actual...... initially made for the Original, suggesting that androids inherit the same style of facial expression as their originals. Our findings support the case of designing android faces after specific actual persons who portray facial features that are familiar to the users, and also relevant to the notion...

  15. Weighted Attribute Fusion Model for Face Recognition

    CERN Document Server

    Sakthivel, S

    2010-01-01

    Recognizing a face based on its attributes is an easy task for a human to perform as it is a cognitive process. In recent years, Face Recognition is achieved with different kinds of facial features which were used separately or in a combined manner. Currently, Feature fusion methods and parallel methods are the facial features used and performed by integrating multiple feature sets at different levels. However, this integration and the combinational methods do not guarantee better result. Hence to achieve better results, the feature fusion model with multiple weighted facial attribute set is selected. For this feature model, face images from predefined data set has been taken from Olivetti Research Laboratory (ORL) and applied on different methods like Principal Component Analysis (PCA) based Eigen feature extraction technique, Discrete Cosine Transformation (DCT) based feature extraction technique, Histogram Based Feature Extraction technique and Simple Intensity based features. The extracted feature set obt...

  16. Face Context Influences Local Part Processing: An ERP Study.

    Science.gov (United States)

    Zhang, Hong; Sun, Yaoru; Zhao, Lun

    2017-01-01

    Perception of face parts on the basis of features is thought to be different from perception of whole faces, which is more based on configural information. Face context is also suggested to play an important role in face processing. To investigate how face context influences the early-stage perception of facial local parts, we used an oddball paradigm that tested perceptual stages of face processing rather than recognition. We recorded the event-related potentials (ERPs) elicited by whole faces and face parts presented in four conditions (upright-normal, upright-thatcherised, inverted-normal and inverted-thatcherised), as well as the ERPs elicited by non-face objects (whole houses and house parts) with corresponding conditions. The results showed that face context significantly affected the N170 with increased amplitudes and earlier peak latency for upright normal faces. Removing face context delayed the P1 latency but did not affect the P1 amplitude prominently for both upright and inverted normal faces. Across all conditions, neither the N170 nor the P1 was modulated by house context. The significant changes on the N170 and P1 components revealed that face context influences local part processing at the early stage of face processing and this context effect might be specific for face perception. We further suggested that perceptions of whole faces and face parts are functionally distinguished.

  17. Probing the Feature Map for Faces in Visual Search

    Directory of Open Access Journals (Sweden)

    Hua Yang

    2011-05-01

    Full Text Available Controversy surrounds the mechanisms underlying the pop-out effect for faces in visual search. Is there a feature map for faces? If so, does it rely on the categorical distinction between faces and nonfaces, or on image-level face semblance? To probe the feature map, we compared search efficiency for faces, and nonface stimuli with high, low, and no face semblance. First, subjects performed a visual search task with objects as distractors. Only faces popped-out. Moreover, search efficiency for nonfaces correlated with image-level face semblance of the target. In a second experiment, faces were used as distractors but nonfaces did not pop-out. Interestingly, search efficiency for nonfaces was not modulated by face semblance, although searching for a face among faces was particularly difficult, reflecting a categorical boundary between nonfaces and faces. Finally, inversion and contrast negation significantly interacted with the effect of face semblance, ruling out the possibility that search efficiency solely depends on low-level features. Our study supports a parallel search for faces that is perhaps preattentive. Like other features (color, orientation etc., there appears to be a continuous face feature map for visual search. Our results also suggest that this map may include both image-level face semblance and face categoricity.

  18. Real-Time Gender Classification by Face

    Directory of Open Access Journals (Sweden)

    Eman Fares Al Mashagba

    2016-03-01

    Full Text Available The identification of human beings based on their biometric body parts, such as face, fingerprint, gait, iris, and voice, plays an important role in electronic applications and has become a popular area of research in image processing. It is also one of the most successful applications of computer–human interaction and understanding. Out of all the abovementioned body parts,the face is one of most popular traits because of its unique features.In fact, individuals can process a face in a variety of ways to classify it by its identity, along with a number of other characteristics, such as gender, ethnicity, and age. Specifically, recognizing human gender is important because people respond differently according to gender. In this paper, we present a robust method that uses global geometry-based features to classify gender and identify age and human beings from video sequences. The features are extracted based on face detection using skin color segmentation and the computed geometric features of the face ellipse region. These geometric features are then used to form the face vector trajectories, which are inputted to a time delay neural network and are trained using the Broyden–Fletcher–Goldfarb–Shanno (BFGS function. Results show that using the suggested method with our own dataset under an unconstrained condition achieves a 100% classification rate in the training set for all application, as well as 91.2% for gender classification, 88% for age identification, and 83% for human identification in the testing set. In addition, the proposed method establishes the real-time system to be used in three applications with a simple computation for feature extraction.

  19. En-face optical coherence tomography revival

    Science.gov (United States)

    Bradu, Adrian; Kapinchev, Konstantin; Barnes, Frederick; Podoleanu, Adrian Gh.

    2016-03-01

    Quite recently, we introduced a novel Optical Coherence Tomography (OCT) method, termed as Master Slave OCT (MS-OCT), especially to deliver en-face images. MS-OCT operates like a time domain OCT, selecting signal from a selected depth only while scanning the laser beam across the sample. Time domain OCT allows real time production of an en-face image, although relatively slowly. As a major advance, the Master Slave method allows collection of signals from any number of depths, as required by the user. MS-OCT is an OCT method that does not require resampling of data and can be used to deliver en-face images from several depths simultaneously. However, as the MS-OCT method requires important computational resources, the number of multiple depth en-face images produced in real-time is limited. Here, we demonstrate that taking advantage of the parallel processing feature of the MS-OCT technology by harnessing the capabilities of graphics processing units (GPU)s, information from 384 depth positions is acquired in one raster with real time display of 40 en-face OCT images. These exhibit comparable resolution and sensitivity to the images produced using the traditional Fourier domain based method. The GPU facilitates versatile real time selection of parameters, such as the depth positions of the 40 images out of a set of 384 depth locations, as well as their axial resolution. Here, we present in parallel with the 40 en-face OCT images of a human tooth, a confocal microscopy lookalike image, together with two B-scan OCT images along rectangular directions.

  20. WCTFR : WRAPPING CURVELET TRANSFORM BASED FACE RECOGNITION

    Directory of Open Access Journals (Sweden)

    Arunalatha J S

    2015-03-01

    Full Text Available The recognition of a person based on biological features are efficient compared with traditional knowledge based recognition system. In this paper we propose Wrapping Curvelet Transform based Face Recognition (WCTFR. The Wrapping Curvelet Transform (WCT is applied on face images of database and test images to derive coefficients. The obtained coefficient matrix is rearranged to form WCT features of each image. The test image WCT features are compared with database images using Euclidean Distance (ED to compute Equal Error Rate (EER and True Success Rate (TSR. The proposed algorithm with WCT performs better than Curvelet Transform algorithms used in [1], [10] and [11].

  1. Human Face Recognition Using Convolutional Neural Networks

    Directory of Open Access Journals (Sweden)

    Răzvan-Daniel Albu

    2009-10-01

    Full Text Available In this paper, I present a novel hybrid face recognition approach based on a convolutional neural architecture, designed to robustly detect highly variable face patterns. The convolutional network extracts successively larger features in a hierarchical set of layers. With the weights of the trained neural networks there are created kernel windows used for feature extraction in a 3-stage algorithm. I present experimental results illustrating the efficiency of the proposed approach. I use a database of 796 images of 159 individuals from Reims University which contains quite a high degree of variability in expression, pose, and facial details.

  2. Advances in FACE and manipulation techniques

    DEFF Research Database (Denmark)

    Beier, Claus; Larsen, Klaus S.; Mikkelsen, Teis Nørgaard

    . The FACE technique is used under field conditions and has been developed over the years to be applied for many types of ecosystems from low stature shrub, grass and arable lands to high stature forest trees. These experiments have provided extensive knowledge and data on CO2 effects on individual plants...... experiments is the cost of the CO2 in such experiments which increases substantially with ring sizes and vegetation height as well as of course the number of replicates. FACE experiments can relatively easily be combined with other stress factors, but for every factor a full factorial combination doubles...

  3. Homodyne en face optical coherence tomography

    OpenAIRE

    Yaqoob, Zahid; Fingler, Jeff; Heng, Xin; Yang, Changhuei

    2006-01-01

    We demonstrate, for what we believe to be the first time, the use of a 3×3 fiber-optic coupler to realize a homodyne optical coherence tomography (OCT) system for en face imaging of highly scattering tissues and turbid media. The homodyne OCT setup exploits the inherent phase shifts between different output ports of a 3×3 fiber-optic coupler to extract amplitude information of a sample. Our homodyne en face OCT system features a measured resolution of 14 μm axially and 9.4 μm laterally with a...

  4. Eccrine cylindroma of the face and scalp

    Directory of Open Access Journals (Sweden)

    Indu Manicketh

    2016-01-01

    Full Text Available Cylindroma is a benign skin adnexal tumor of eccrine differentiation. Clinically, they are disfiguring lesions that can mimic a malignancy. Cylindromas can be single or multiple and commonly involve the scalp (turban tumor and face. Multiple cylindromas can have a syndromic association as seen in Brooke–Spiegler syndrome and familial cylindromatosis. We present a case of non familial cylindroma of the face that clinically mimicked a basal cell carcinoma. The histopathology was confirmatory. Herein we also highlight the utility of a simple and inexpensive histochemical stain Periodic Acid Schiff in supporting the diagnosis.

  5. Enhancing face recognition by image warping

    OpenAIRE

    García Bueno, Jorge

    2009-01-01

    This project has been developed as an improvement which could be added to the actual computer vision algorithms. It is based on the original idea proposed and published by Rob Jenkins and Mike Burton about the power of the face averages in arti cial recognition. The present project aims to create a new automated procedure applied for face recognition working with average images. Up to now, this algorithm has been used manually. With this study, the averaging and warping process will be done b...

  6. Spoken Interaction in Online and Face-to-Face Language Tutorials

    Science.gov (United States)

    Heins, Barbara; Duensing, Annette; Stickler, Ursula; Batstone, Carolyn

    2007-01-01

    While interaction in online language learning in the area of written computer-mediated communication is well researched, studies focusing on interaction in synchronous online audio environments remain scarce. For this reason, this paper seeks to map the nature and level of interpersonal interaction in both online and the face-to-face language…

  7. Learner-Centered Teaching Style: Comparing Face-to-Face and Online Adult Educators' Commitment Levels

    Science.gov (United States)

    Edwards, Shanda E.

    2013-01-01

    For at least 50 years, prominent adult learning theorists have recommended that adult educators commit to a learner-centered teaching approach. Extensive teaching styles research has been conducted on face-to-face and online adult educators, albeit separately, to examine their commitment levels to the learner-centered style. In addition, there has…

  8. Face gender and stereotypicality influence facial trait evaluation: Counter-stereotypical female faces are negatively evaluated.

    Science.gov (United States)

    Sutherland, Clare A M; Young, Andrew W; Mootz, Carmen A; Oldmeadow, Julian A

    2015-05-01

    The facial first impressions literature has focused on trait dimensions, with less research on how social categories (like gender) may influence first impressions of faces. Yet, social psychological studies have shown the importance of categories like gender in the evaluation of behaviour. We investigated whether face gender affects the positive or negative evaluation of faces in terms of first impressions. In Study 1, we manipulated facial gender stereotypicality, and in Study 2, facial trustworthiness or dominance, and examined the valence of resulting spontaneous descriptions of male and female faces. For both male and female participants, counter-stereotypical (masculine or dominant looking), female faces were perceived more negatively than facially stereotypical male or female faces. In Study 3, we examined how facial dominance and trustworthiness affected rated valence across 1,000 male and female ambient face images, and replicated the finding that dominance is more negatively evaluated for female faces. In Study 4, the same effect was found with short stimulus presentations. These findings integrate the facial first impressions literature with evaluative differences based on social categories.

  9. Automatic landmark detection and face recognition for side-view face images

    NARCIS (Netherlands)

    Santemiz, Pinar; Spreeuwers, Luuk J.; Veldhuis, Raymond N.J.; Broemme, Arslan; Busch, Christoph

    2013-01-01

    In real-life scenarios where pose variation is up to side-view positions, face recognition becomes a challenging task. In this paper we propose an automatic side-view face recognition system designed for home-safety applications. Our goal is to recognize people as they pass through doors in order to

  10. Student Learning and Instructor Investment in Online and Face-to-Face Natural Resources Courses

    Science.gov (United States)

    Wuellner, Melissa R.

    2013-01-01

    Substantial growth in online education in the United States has prompted questions on the levels of student learning and satisfaction achieved and the amount of instructor time investment required in the online environment compared to the face-to-face (F2F) environment. To date, very few have studied these measurements in science courses, and none…

  11. Two Peas in a Pod? A Comparison of Face-to-Face and Web Based Classrooms

    Science.gov (United States)

    Mentzer, Gale; Cryan, JohnRobert; Teclehaimanot, Berhane

    2007-01-01

    This study compared student learning outcomes and student perceptions of and satisfaction with the learning process between two sections of the same class--a web-based section and a traditional face-to-face (f2f) section. Using a quasi-experimental design, students were randomly assigned to the two course sections. Group equivalency was…

  12. Faces with light makeup are better recognized than faces with heavy makeup

    Directory of Open Access Journals (Sweden)

    Keiko eTagai

    2016-03-01

    Full Text Available Many women wear facial makeup to accentuate their appeal and attractiveness. Makeup may vary from natural (light to glamorous (heavy, depending of the context of interpersonal situations, an emphasis on femininity, and current societal makeup trends. This study examined how light makeup and heavy makeup influenced attractiveness ratings and facial recognition. In a rating task, 38 Japanese women assigned attractiveness ratings to 36 Japanese female faces with no makeup, light makeup, and heavy makeup (12 each. In a subsequent recognition task, the participants were presented with 36 old and 36 new faces. Results indicated that attractiveness was rated highest for the light makeup faces and lowest for the no makeup faces. In contrast, recognition performance was higher for the no makeup and light make up faces than for the heavy makeup faces. Faces with heavy makeup produced a higher rate of false recognition than did other faces, possibly because heavy makeup creates an impression of the style of makeup itself, rather than the individual wearing the makeup. The present study suggests that light makeup is preferable to heavy makeup in that light makeup does not interfere with individual recognition and gives beholders positive impressions.

  13. Type of Instructional Delivery and Second Language Teacher Candidate Performance: Online versus Face-to-Face

    Science.gov (United States)

    Kissau, Scott

    2015-01-01

    Research conducted over the past decade has consistently reported no significant differences in learning outcomes for students of fully online or face-to-face (F2F) instruction. Only a small number of these studies, however, have focused on courses in second language (L2) teacher preparation programs. Even fewer studies have compared the impact of…

  14. Emotional signals from faces, bodies and scenes influence observers' face expressions, fixations and pupil-size

    NARCIS (Netherlands)

    Kret, M.E.; Roelofs, K.; Stekelenburg, J.J.; de Gelder, B.

    2013-01-01

    We receive emotional signals from different sources, including the face, the whole body, and the natural scene. Previous research has shown the importance of context provided by the whole body and the scene on the recognition of facial expressions. This study measured physiological responses to face

  15. Science Self-Efficacy of Preservice Teachers in Face-to-Face versus Blended Environments

    Science.gov (United States)

    Knaggs, Christine M.; Sondergeld, Toni A.; Henry, Dawn

    2017-01-01

    Using a quasi-experimental mixed methods concurrent design, this study measured the science self-efficacy of pre-service elementary teachers before and after a survey of science content course. Further, this course was delivered in two different formats: face-to-face and hybrid (approximately 50% online), and compared pre-and post-science…

  16. The neural code for face orientation in the human fusiform face area.

    Science.gov (United States)

    Ramírez, Fernando M; Cichy, Radoslaw M; Allefeld, Carsten; Haynes, John-Dylan

    2014-09-01

    Humans recognize faces and objects with high speed and accuracy regardless of their orientation. Recent studies have proposed that orientation invariance in face recognition involves an intermediate representation where neural responses are similar for mirror-symmetric views. Here, we used fMRI, multivariate pattern analysis, and computational modeling to investigate the neural encoding of faces and vehicles at different rotational angles. Corroborating previous studies, we demonstrate a representation of face orientation in the fusiform face-selective area (FFA). We go beyond these studies by showing that this representation is category-selective and tolerant to retinal translation. Critically, by controlling for low-level confounds, we found the representation of orientation in FFA to be compatible with a linear angle code. Aspects of mirror-symmetric coding cannot be ruled out when FFA mean activity levels are considered as a dimension of coding. Finally, we used a parametric family of computational models, involving a biased sampling of view-tuned neuronal clusters, to compare different face angle encoding models. The best fitting model exhibited a predominance of neuronal clusters tuned to frontal views of faces. In sum, our findings suggest a category-selective and monotonic code of face orientation in the human FFA, in line with primate electrophysiology studies that observed mirror-symmetric tuning of neural responses at higher stages of the visual system, beyond the putative homolog of human FFA.

  17. Internet Communication versus Face-to-Face Interaction in Quality of Life

    Science.gov (United States)

    Lee, Paul S. N.; Leung, Louis; Lo, Venhwei; Xiong, Chengyu; Wu, Tingjun

    2011-01-01

    This study seeks to understand the role of the Internet in quality of life (QoL). Specifically, it examines the question of whether Internet communication serves, like face-to-face interactions, to enhance quality of life. It is hypothesized that the use of the Internet for interpersonal communication can improve quality of life among Internet…

  18. Presentation Anxiety Analysis: Comparing Face-to-Face Presentations and Webinars

    Science.gov (United States)

    Campbell, Scott

    2015-01-01

    This study is an exploration in the changing landscape of how people deliver presentations in an attempt to determine the advantages and disadvantages of both forms. The study focused on key differences of student expectations and experiences delivering a presentation to an audience in the same location (face-to-face) compared to a presentation…

  19. Pattern Discovery for the Design of Face-to-Face Computer-Supported Collaborative Learning Activities

    Science.gov (United States)

    Capponi, Maria Francisca; Nussbaum, Miguel; Marshall, Guillermo; Lagos, Maria Ester

    2010-01-01

    This paper presents a methodology of discovering social action patterns in collaborative learning activities for use in improving activity design, and in particular for restructuring existing designs involving face-to-face social actions to enhance their social dynamics and thus better ensure the achievement of a specified aim. An activity in this…

  20. Review on Matching Infrared Face Images to Optical Face Images using LBP

    Directory of Open Access Journals (Sweden)

    Kamakhaya Argulewar

    2014-12-01

    Full Text Available In biometric research and many security areas, it is very difficult task to match the images which is captured by different devices. Large gap exist between them because they relates with different classes. Matching optical face images to infrared face images is one of the difficult task in face biometric. Large difference exists between infrared and optical face images because they belong to multiple classes. Converting the samples of multimodality into common feature space is the main objective of this project. Different class of images is relating by coordinating separate feature for classes .It is mainly used in heterogeneous face recognition. The new method has been developing for identification of heterogeneous face identification. Training set contains the images from different modalities. Initially the infrared image is preprocessed by applying Gaussian filter, difference of Gaussian and CSDN filters are apply on infrared face image. After preprocessing next step to extracting the feature by using LBP(local binary pattern feature extraction then relevance machine classifier is used to identify the best matching optical image from the corresponding infrared images from the optical images dataset. By processing this technique our system efficiently match the infrared and optical face images.

  1. Comparison of Power Relations within Electronic and Face-to-Face Classroom Discussions: A Case Study.

    Science.gov (United States)

    Jeris, Laurel

    2002-01-01

    Online discussions and transcriptions of face-to-face discussions by graduate students (14 online, 14 on campus) were analyzed. Technical support was not available 24 hours a day to online students who were predominantly women. Online discussions were more student-to-student, classroom discussions student-to-teacher. The analysis suggests how…

  2. Computer Self-Efficacy, Anxiety, and Learning in Online versus Face to Face Medium

    Science.gov (United States)

    Hauser, Richard; Paul, Ravi; Bradley, John

    2012-01-01

    The purpose of this research is to examine the relationships between changes to computer self-efficacy (CSE) and computer anxiety and the impact on performance on computer-related tasks in both online and face-to-face mediums. While many studies have looked at these factors individually, relatively few have included multiple measures of these…

  3. Examination of program exposure across intervention delivery modes: face-to-face versus internet

    Directory of Open Access Journals (Sweden)

    Mummery W Kerry

    2007-03-01

    Full Text Available Abstract Background There has been increasing interest in the ability of the internet to produce behaviour change. The focus of this study was to describe program exposure across three intervention groups from a randomised trial (RT comparing traditional face-to-face, internet-mediated (combined internet plus face-to-face, and internet-only program delivery. Methods Baseline and immediately post-intervention survey data, and exposure rates from participants that commenced the RT were included (n = 192. Exposure was defined as either face-to-face attendance, website usage, or a combination of both for the internet-mediated group. Characteristics of participants who were exposed to at least 75% of the program material were explored. Descriptive analysis and logistical regression were used to examine differences between groups for program exposure. Results All groups showed decrease in program exposure over time. Differences were also observed (χ2 = 10.37, p Conclusion These results suggest that the internet groups were as effective as the face-to-face delivery mode in engaging participants in the program material. However, different delivery methods may be more useful to different sub-populations. It is important to explore which target groups that internet-based programs are best suited, in order to increase their impact.

  4. The Body That Speaks: Recombining Bodies and Speech Sources in Unscripted Face-to-Face Communication.

    Science.gov (United States)

    Gillespie, Alex; Corti, Kevin

    2016-01-01

    This article examines advances in research methods that enable experimental substitution of the speaking body in unscripted face-to-face communication. A taxonomy of six hybrid social agents is presented by combining three types of bodies (mechanical, virtual, and human) with either an artificial or human speech source. Our contribution is to introduce and explore the significance of two particular hybrids: (1) the cyranoid method that enables humans to converse face-to-face through the medium of another person's body, and (2) the echoborg method that enables artificial intelligence to converse face-to-face through the medium of a human body. These two methods are distinct in being able to parse the unique influence of the human body when combined with various speech sources. We also introduce a new framework for conceptualizing the body's role in communication, distinguishing three levels: self's perspective on the body, other's perspective on the body, and self's perspective of other's perspective on the body. Within each level the cyranoid and echoborg methodologies make important research questions tractable. By conceptualizing and synthesizing these methods, we outline a novel paradigm of research on the role of the body in unscripted face-to-face communication.

  5. Effects of Synchronicity and Belongingness on Face-to-Face and Computer-Mediated Constructive Controversy

    Science.gov (United States)

    Saltarelli, Andy J.; Roseth, Cary J.

    2014-01-01

    Adapting face-to-face (FTF) pedagogies to online settings raises boundary questions about the contextual conditions in which the same instructional method stimulates different outcomes. We address this issue by examining FTF and computer-mediated communication (CMC) versions of constructive controversy, a cooperative learning procedure involving…

  6. Face-to-Face Tutorial Provision in the Universitas Terbuka (The Open University of Indonesia).

    Science.gov (United States)

    Hiola, Yahya; Moss, Dennis

    1989-01-01

    Describes an evaluative study conducted at the Universitas Terbuka (Indonesia) that examined the role of face-to-face tutorials as an optional supplement to other instructional materials at a distance education institution. Attitudes, characteristics, and roles of the tutors are examined, and student attitudes are briefly discussed. (21…

  7. Analysis of the Questions Asked through Digital and Face-to-Face Reference Services

    Science.gov (United States)

    Tsuji, Keita; Arai, Shunsuke; Suga, Reina; Ikeuchi, Atsushi; Yoshikane, Fuyuki

    2013-01-01

    In Japan, only a few public libraries provide e-mail reference services. To help public libraries start e-mail reference services, the authors investigated reference questions received by libraries via e-mail and traditional face-to-face services. The authors found that research questions are more frequently observed among e-mail questions and…

  8. The Body That Speaks: Recombining Bodies and Speech Sources in Unscripted Face-to-Face Communication

    Science.gov (United States)

    Gillespie, Alex; Corti, Kevin

    2016-01-01

    This article examines advances in research methods that enable experimental substitution of the speaking body in unscripted face-to-face communication. A taxonomy of six hybrid social agents is presented by combining three types of bodies (mechanical, virtual, and human) with either an artificial or human speech source. Our contribution is to introduce and explore the significance of two particular hybrids: (1) the cyranoid method that enables humans to converse face-to-face through the medium of another person's body, and (2) the echoborg method that enables artificial intelligence to converse face-to-face through the medium of a human body. These two methods are distinct in being able to parse the unique influence of the human body when combined with various speech sources. We also introduce a new framework for conceptualizing the body's role in communication, distinguishing three levels: self's perspective on the body, other's perspective on the body, and self's perspective of other's perspective on the body. Within each level the cyranoid and echoborg methodologies make important research questions tractable. By conceptualizing and synthesizing these methods, we outline a novel paradigm of research on the role of the body in unscripted face-to-face communication. PMID:27660616

  9. Undergraduate Essay Writing: Online and Face-to-Face Peer Reviews

    Science.gov (United States)

    Chong, Mike R.; Goff, Lori; Dej, Kimberly

    2012-01-01

    We implemented two different approaches of using peer review to support undergraduate essay assignments for students taking large second-year courses in life sciences and biology: a web-based online peer review (OPR) approach and a more traditional face-to-face peer review (FPR) approach that was conducted in tutorial settings. The essays…

  10. Pair Interactions and Mode of Communication: Comparing Face-to-Face and Computer Mediated Communication

    Science.gov (United States)

    Tan, Lan Liana; Wigglesworth, Gillian; Storch, Neomy

    2010-01-01

    In today's second language classrooms, students are often asked to work in pairs or small groups. Such collaboration can take place face-to-face, but now more often via computer mediated communication. This paper reports on a study which investigated the effect of the medium of communication on the nature of pair interaction. The study involved…

  11. Learners' Willingness to Communicate in Face-to-Face versus Oral Computer-Mediated Communication

    Science.gov (United States)

    Yanguas, Íñigo; Flores, Alayne

    2014-01-01

    The present study had two main goals: to explore performance differences in a task-based environment between face-to-face (FTF) and oral computer-mediated communication (OCMC) groups, and to investigate the relationship between trait-like willingness to communicate (WTC) and performance in the FTF and OCMC groups. Students from two intact…

  12. Learning Opportunities in Synchronous Computer-Mediated Communication and Face-to-Face Interaction

    Science.gov (United States)

    Kim, Hye Yeong

    2014-01-01

    This study investigated how synchronous computer-mediated communication (SCMC) and face-to-face (F2F) oral interaction influence the way in which learners collaborate in language learning and how they solve their communicative problems. The findings suggest that output modality may affect how learners produce language, attend to linguistic forms,…

  13. Cost-effectiveness analysis of face-to-face smoking cessation interventions by professionals

    NARCIS (Netherlands)

    T.L. Feenstra (Talitha); H.H. Hamberg-van Reenen; R.T. Hoogenveen (Rudolf); M.P.M.H. Rutten-van Mölken (Maureen)

    2003-01-01

    textabstractObjectives: To estimate the cost-effectiveness of five face-to-face smoking cessation interventions: 1) Telephone Counseling (TC), 2) Minimal counseling by a general practitioner (H-MIS), 3) Minimal counseling by a general practitioner combined with Nicotine Replacement Therapy (H-MIS+NR

  14. Cost-effectiveness of face-to-face smoking cessation interventions: A dynamic modeling study

    NARCIS (Netherlands)

    T.L. Feenstra (Talitha); H.H. Hamberg-Van Reenen (Heleen); R.T. Hoogenveen (Rudolf); M.P.M.H. Rutten-van Mölken (Maureen)

    2005-01-01

    textabstractObjectives: To estimate the cost-effectiveness of five face-to-face smoking cessation interventions (i.e., minimal counseling by a general practitioner (GP) with, or without nicotine replacement therapy (NRT), intensive counseling with NRT, or bupropion, and telephone counseling) in term

  15. Characteristics of problem drinkers in e-therapy versus face-to-face treatment.

    NARCIS (Netherlands)

    Postel, M.G.; Haan, H.A. de; Huurne, E.D. Ter; Becker, E.S.; Jong, C.A.J. de

    2011-01-01

    BACKGROUND: The availability of online treatment programs offers the potential to reach more problem drinkers. This study compared the client populations of an e-therapy program (asynchronous client-therapist communication via the Internet) and a face-to-face treatment program. OBJECTIVE: To determi

  16. Characteristics of Problem Drinkers in E-therapy versus Face-to-Face Treatment

    NARCIS (Netherlands)

    Postel, M.G.; Haan, H.A. de; Huurne, E.D. ter; Becker, E.S.; Jong, C.A.J. de

    2011-01-01

    Background: The availability of online treatment programs offers the potential to reach more problem drinkers. This study compared the client populations of an e-therapy program (asynchronous client–therapist communication via the Internet) and a face-to-face treatment program. Objective: To determi

  17. A Systems View of Mother-Infant Face-to-Face Communication

    Science.gov (United States)

    Beebe, Beatrice; Messinger, Daniel; Bahrick, Lorraine E.; Margolis, Amy; Buck, Karen A.; Chen, Henian

    2016-01-01

    Principles of a dynamic, dyadic systems view of mother-infant face-to-face communication, which considers self- and interactive processes in relation to one another, were tested. The process of interaction across time in a large low-risk community sample at infant age 4 months was examined. Split-screen videotape was coded on a 1-s time base for…

  18. Overcoming Student Resistance to Group Work: Online Versus Face-to-Face

    Science.gov (United States)

    Smith, Glenn Gordon; Sorensen, Chris; Gump, Andrew; Heindel, Allen J.; Caris, Mieke; Martinez, Christopher D.

    2011-01-01

    This study compared student group work experiences in online (OL) versus face-to-face (f2f) sections of the same graduate course, over three years, to determine what factors influence student group work experiences and how do these factors play out in f2f versus OL environments. Surveys and student journals suggest that communication issues,…

  19. Comparing Role-Playing Activities in Second Life and Face-to-Face Environments

    Science.gov (United States)

    Gao, Fei; Noh, Jeongmin J.; Koehler, Matthew J.

    2009-01-01

    This study compared student performances in role-playing activities in both a face-to-face (FTF) environment and a virtual 3D environment, Second Life (SL). We found that students produced a similar amount of communication in the two environments, but the communication styles were different. In SL role-playing activities, students took more…

  20. A comparison of nonresponse in mail, telephone, and face-to-face surveys

    NARCIS (Netherlands)

    Hox, J.J.; Leeuw, E.D. de

    1994-01-01

    This article reports a meta-analysis of 45 studies that explicitly compare the response obtained using a mail, telephone or face-to-face survey. The data analysis uses a generalized hierarchical linear model. Sampling procedure (e.g., local convenience sample, random general sample), saliency of top

  1. Time Usage during Face-to-Face and Synchronous Distance Music Lessons

    Science.gov (United States)

    Orman, Evelyn K.; Whitaker, Jennifer A.

    2010-01-01

    This study compared face-to-face and videoconference private music lessons of one saxophone and two tuba students. One value of this study is the magnitude of the data analysis. More than 28,800 frames of digital video and verbatim scripts of all lessons were analyzed for time spent engaged in sequential patterns of instruction, performance, focus…

  2. A Comparison of Organizational Structure and Pedagogical Approach: Online versus Face-to-Face

    Science.gov (United States)

    McFarlane, Donovan A.

    2011-01-01

    This paper examines online versus face-to-face organizational structure and pedagogy in terms of education and the teaching and learning process. The author distinguishes several important terms related to distance/online/e-learning, virtual learning and brick-and-mortar learning interactions and concepts such as asynchronous and synchronous…

  3. Generating virtual training samples for sparse representation of face images and face recognition

    Science.gov (United States)

    Du, Yong; Wang, Yu

    2016-03-01

    There are many challenges in face recognition. In real-world scenes, images of the same face vary with changing illuminations, different expressions and poses, multiform ornaments, or even altered mental status. Limited available training samples cannot convey these possible changes in the training phase sufficiently, and this has become one of the restrictions to improve the face recognition accuracy. In this article, we view the multiplication of two images of the face as a virtual face image to expand the training set and devise a representation-based method to perform face recognition. The generated virtual samples really reflect some possible appearance and pose variations of the face. By multiplying a training sample with another sample from the same subject, we can strengthen the facial contour feature and greatly suppress the noise. Thus, more human essential information is retained. Also, uncertainty of the training data is simultaneously reduced with the increase of the training samples, which is beneficial for the training phase. The devised representation-based classifier uses both the original and new generated samples to perform the classification. In the classification phase, we first determine K nearest training samples for the current test sample by calculating the Euclidean distances between the test sample and training samples. Then, a linear combination of these selected training samples is used to represent the test sample, and the representation result is used to classify the test sample. The experimental results show that the proposed method outperforms some state-of-the-art face recognition methods.

  4. An Experiment Comparing HBSE Graduate Social Work Classes: Face-to-Face and at a Distance

    Science.gov (United States)

    Woehle, Ralph; Quinn, Andrew

    2009-01-01

    This article describes a quasi-experimental comparison of two master's level social work classes delivering content on human behavior in the social environment. One class, delivered face-to-face, was largely synchronous. The other class, delivered using distance technologies, was more asynchronous than the first. The authors hypothesized that…

  5. Student Performance in Online and Face-to-Face Microeconomics: Evidence from Adult Learners

    Science.gov (United States)

    Medcalfe, Simon

    2009-01-01

    There have been few studies comparing student performance in online and face-to-face economics courses. Those studies that have been undertaken have concentrated on traditional students (18- to 22-year-olds). This paper examines student outcomes in an undergraduate course in microeconomics taught to non-traditional students (average age is 33…

  6. Face-to-Face Play: Its Temporal Structure as Predictor of Socioaffective Development.

    Science.gov (United States)

    Stern, Daniel N.

    2001-01-01

    Examines three issues from study by Jaffe et al.: predictive nature of face-to-face play, the psychological present moment for infants, and the representation of the pragmatics of dialogue. Emphasizes value of the study for future work in social interaction. (DLH)

  7. Cost-effectiveness of face-to-face smoking cessation interventions : a dynamic modeling study

    NARCIS (Netherlands)

    Feenstra, Talitha L; Hamberg-van Reenen, Heleen H; Hoogenveen, Rudolf T; Rutten-van Mölken, Maureen P M H

    2005-01-01

    OBJECTIVES: To estimate the cost-effectiveness of five face-to-face smoking cessation interventions (i.e., minimal counseling by a general practitioner (GP) with, or without nicotine replacement therapy (NRT), intensive counseling with NRT, or bupropion, and telephone counseling) in terms of costs p

  8. Increasing Students' Perceived Sociopolitical Empowerment through Online and Face-to-Face Community Psychology Seminars

    Science.gov (United States)

    Francescato, Donata; Solimeno, Andrea; Mebane, Minou Ella; Tomai, Manuela

    2009-01-01

    Community psychology theorists underline the importance of promoting sociopolitical empowerment, but few studies have been conducted on the evaluation of the efficacy of empowering programs among university students. The authors report two studies: the first, with 216 psychology majors, compared the efficacy of face-to-face and online community…

  9. Face-to-face Tobacco Sales: What Retailers Need to Know

    Centers for Disease Control (CDC) Podcasts

    2010-09-30

    This podcast reviews new federal tobacco product regulations that require retailers to sell cigarettes and smokeless tobacco products in a face-to-face exchange.  Created: 9/30/2010 by The CDC Division of News and Electronic Media and the FDA Center for Tobacco Products.   Date Released: 9/30/2010.

  10. Stereotype Priming in Face Recognition: Interactions between Semantic and Visual Information in Face Encoding

    Science.gov (United States)

    Hills, Peter J.; Lewis, Michael B.; Honey, R. C.

    2008-01-01

    The accuracy with which previously unfamiliar faces are recognised is increased by the presentation of a stereotype-congruent occupation label [Klatzky, R. L., Martin, G. L., & Kane, R. A. (1982a). "Semantic interpretation effects on memory for faces." "Memory & Cognition," 10, 195-206; Klatzky, R. L., Martin, G. L., & Kane, R. A. (1982b).…

  11. Face recognition performance of individuals with Asperger syndrome on the Cambridge Face Memory Test.

    Science.gov (United States)

    Hedley, Darren; Brewer, Neil; Young, Robyn

    2011-12-01

    Although face recognition deficits in individuals with Autism Spectrum Disorder (ASD), including Asperger syndrome (AS), are widely acknowledged, the empirical evidence is mixed. This in part reflects the failure to use standardized and psychometrically sound tests. We contrasted standardized face recognition scores on the Cambridge Face Memory Test (CFMT) for 34 individuals with AS with those for 42, IQ-matched non-ASD individuals, and age-standardized scores from a large Australian cohort. We also examined the influence of IQ, autistic traits, and negative affect on face recognition performance. Overall, participants with AS performed significantly worse on the CFMT than the non-ASD participants and when evaluated against standardized test norms. However, while 24% of participants with AS presented with severe face recognition impairment (>2 SDs below the mean), many individuals performed at or above the typical level for their age: 53% scored within +/- 1 SD of the mean and 9% demonstrated superior performance (>1 SD above the mean). Regression analysis provided no evidence that IQ, autistic traits, or negative affect significantly influenced face recognition: diagnostic group membership was the only significant predictor of face recognition performance. In sum, face recognition performance in ASD is on a continuum, but with average levels significantly below non-ASD levels of performance.

  12. Can Massive but Passive Exposure to Faces Contribute to Face Recognition Abilities?

    Science.gov (United States)

    Yovel, Galit; Halsband, Keren; Pelleg, Michel; Farkash, Naomi; Gal, Bracha; Goshen-Gottstein, Yonatan

    2012-01-01

    Recent studies have suggested that individuation of other-race faces is more crucial for enhancing recognition performance than exposure that involves categorization of these faces to an identity-irrelevant criterion. These findings were primarily based on laboratory training protocols that dissociated exposure and individuation by using…

  13. The Body That Speaks: Recombining Bodies and Speech Sources in Unscripted Face-to-Face Communication

    Directory of Open Access Journals (Sweden)

    Alex Gillespie

    2016-09-01

    Full Text Available This article examines advances in research methods that enable experimental substitution of the speaking body in unscripted face-to-face communication. A taxonomy of six hybrid social agents is presented by combining three types of bodies (mechanical, virtual, and human with either an artificial or human speech source. Our contribution is to introduce and explore the significance of two particular hybrids: (1 the cyranoid method that enables humans to converse face-to-face through the medium of another person’s body, and (2 the echoborg method that enables artificial intelligence to converse face-to-face through the medium of a human body. These two methods are distinct in being able to parse the unique influence of the human body when combined with various speech sources. We also introduce a new framework for conceptualizing the body’s role in communication, distinguishing three levels: self’s perspective on the body, other’s perspective on the body, and self’s perspective of other’s perspective on the body. Within each level the cyranoid and echoborg methodologies make important research questions tractable. By conceptualizing and synthesizing these methods, we outline a novel paradigm of research on the role of the body in unscripted face-to-face communication.

  14. Identity-Specific Face Adaptation Effects: Evidence for Abstractive Face Representations

    Science.gov (United States)

    Hole, Graham

    2011-01-01

    The effects of selective adaptation on familiar face perception were examined. After prolonged exposure to photographs of a celebrity, participants saw a series of ambiguous morphs that were varying mixtures between the face of that person and a different celebrity. Participants judged fewer of the morphs to resemble the celebrity to which they…

  15. Neural Decoding Reveals Impaired Face Configural Processing in the Right Fusiform Face Area of Individuals with Developmental Prosopagnosia

    OpenAIRE

    2015-01-01

    Most of human daily social interactions rely on the ability to successfully recognize faces. Yet ∼2% of the human population suffers from face blindness without any acquired brain damage [this is also known as developmental prosopagnosia (DP) or congenital prosopagnosia]). Despite the presence of severe behavioral face recognition deficits, surprisingly, a majority of DP individuals exhibit normal face selectivity in the right fusiform face area (FFA), a key brain region involved in face conf...

  16. A Novel Face Recognition Algorithm for Distinguishing Faces with Various Angles

    Institute of Scientific and Technical Information of China (English)

    Yong-Zhong Lu

    2008-01-01

    In order to distinguish faces of various angles during face recognition, an algorithm of the combination of approximate dynamic programming (ADP) called action dependent heuristic dynamic programming (ADHDP) and particle swarm optimization (PSO) is presented. ADP is used for dynamically changing the values of the PSO parameters. During the process of face recognition, the discrete cosine transformation (DCT) is first introduced to reduce negative effects. Then, Karhunen-Loeve (K-L) transformation can be used to compress images and decrease data dimensions. According to principal component analysis (PCA), the main parts of vectors are extracted for data representation. Finally, radial basis function (RBF) neural network is trained to recognize various faces. The training of RBF neural network is exploited by ADP-PSO. In terms of ORL Face Database, the experimental result gives a clear view of its accurate efficiency.

  17. When the face fits: recognition of celebrities from matching and mismatching faces and voices.

    Science.gov (United States)

    Stevenage, Sarah V; Neil, Greg J; Hamlin, Iain

    2014-01-01

    The results of two experiments are presented in which participants engaged in a face-recognition or a voice-recognition task. The stimuli were face-voice pairs in which the face and voice were co-presented and were either "matched" (same person), "related" (two highly associated people), or "mismatched" (two unrelated people). Analysis in both experiments confirmed that accuracy and confidence in face recognition was consistently high regardless of the identity of the accompanying voice. However accuracy of voice recognition was increasingly affected as the relationship between voice and accompanying face declined. Moreover, when considering self-reported confidence in voice recognition, confidence remained high for correct responses despite the proportion of these responses declining across conditions. These results converged with existing evidence indicating the vulnerability of voice recognition as a relatively weak signaller of identity, and results are discussed in the context of a person-recognition framework.

  18. Face liveness detection for face recognition based on cardiac features of skin color image

    Science.gov (United States)

    Suh, Kun Ha; Lee, Eui Chul

    2016-07-01

    With the growth of biometric technology, spoofing attacks have been emerged a threat to the security of the system. Main spoofing scenarios in the face recognition system include the printing attack, replay attack, and 3D mask attack. To prevent such attacks, techniques that evaluating liveness of the biometric data can be considered as a solution. In this paper, a novel face liveness detection method based on cardiac signal extracted from face is presented. The key point of proposed method is that the cardiac characteristic is detected in live faces but not detected in non-live faces. Experimental results showed that the proposed method can be effective way for determining printing attack or 3D mask attack.

  19. Face perception in high-functioning autistic adults: evidence for superior processing of face parts, not for a configural face-processing deficit.

    Science.gov (United States)

    Lahaie, A; Mottron, L; Arguin, M; Berthiaume, C; Jemel, B; Saumier, D

    2006-01-01

    Configural processing in autism was studied in Experiment 1 by using the face inversion effect. A normal inversion effect was observed in the participants with autism, suggesting intact configural face processing. A priming paradigm using partial or complete faces served in Experiment 2 to assess both local and configural face processing. Overall, normal priming effects were found in participants with autism, irrespective of whether the partial face primes were intuitive face parts (i.e., eyes, nose, etc.) or arbitrary segments. An exception, however, was that participants with autism showed magnified priming with single face parts relative to typically developing control participants. The present findings argue for intact configural processing in autism along with an enhanced processing for individual face parts. The face-processing peculiarities known to characterize autism are discussed on the basis of these results and past congruent results with nonsocial stimuli.

  20. Holistic face processing of own- and other-age faces in young and older adults: ERP evidence from the composite face task.

    Science.gov (United States)

    Wiese, Holger; Kachel, Ulrike; Schweinberger, Stefan R

    2013-07-01

    Participants more accurately remember own-age relative to other-age faces (own-age bias, OAB). The present study tested whether this effect is related to more efficient holistic processing of own-age faces. Young adult and older participants performed a composite face task with young and old faces, in which they indicated whether the upper half of two subsequent composite faces was identical or not. The lower half of the second face was always different, and face halves were horizontally misaligned in 50% of the trials. Both participant groups were more efficient to correctly identify same upper halves in the misaligned relative to the aligned condition, and this composite face effect (CFE), a marker of holistic face processing, was stronger for young faces. Analysis of event-related potentials revealed strong misalignment effects in the N170, which were more pronounced for young faces in both groups. Critically, in the subsequent N250r a stronger misalignment effect for young faces was detected in young participants only. Since N250r may reflect the facilitated access of a perceptual representation of a previously presented face, this finding is interpreted to reflect young participants' more efficient representation of own-age faces as a whole, which may contribute to their OAB in memory.

  1. Individual differences in holistic processing predict face recognition ability.

    Science.gov (United States)

    Wang, Ruosi; Li, Jingguang; Fang, Huizhen; Tian, Moqian; Liu, Jia

    2012-02-01

    Why do some people recognize faces easily and others frequently make mistakes in recognizing faces? Classic behavioral work has shown that faces are processed in a distinctive holistic manner that is unlike the processing of objects. In the study reported here, we investigated whether individual differences in holistic face processing have a significant influence on face recognition. We found that the magnitude of face-specific recognition accuracy correlated with the extent to which participants processed faces holistically, as indexed by the composite-face effect and the whole-part effect. This association is due to face-specific processing in particular, not to a more general aspect of cognitive processing, such as general intelligence or global attention. This finding provides constraints on computational models of face recognition and may elucidate mechanisms underlying cognitive disorders, such as prosopagnosia and autism, that are associated with deficits in face recognition.

  2. Comparing online and face-to-face dissonance-based eating disorder prevention.

    Science.gov (United States)

    Serdar, Kasey; Kelly, Nichole R; Palmberg, Allison A; Lydecker, Janet A; Thornton, Laura; Tully, Carrie E; Mazzeo, Suzanne E

    2014-01-01

    Disordered eating behavior is common in college women. Thus, it is important to develop programs to reduce eating disorder (ED) risk. Studies suggest that dissonance-based (DB) prevention programs successfully reduce ED risk factors; however, face-to-face DB groups lack anonymity and convenience. One way to address these barriers is to adapt DB programs for online use. Few studies have examined the feasibility of this delivery mode. This study compared the efficacy of an online DB program with a face-to-face DB program and an assessment-only condition. Undergraduate women (N = 333) recruited from a participant pool at a public university in the mid-Atlantic United States participated (n = 107 face-to-face DB, n = 112 online DB, n = 114 assessment-only). It was hypothesized that: (a) participants in the face-to-face and online DB conditions would report greater decreases in thin-ideal internalization, body dissatisfaction, and ED symptoms at post-testing relative to participants in the assessment-only control group, and (b) online and face-to-face programs would yield comparable results. Modified intent-to-treat analyses indicated that participants in both conditions manifested less body dissatisfaction at post-test compared with assessment-only participants; there were no significant differences in outcomes between the two modes of program delivery. These findings indicate that DB ED prevention programs can be successfully adapted for online use. Future studies should continue to refine online adaptations of such programs and examine their effects with samples that include older and younger women, and men.

  3. Teleconference versus face-to-face scientific peer review of grant application: effects on review outcomes.

    Directory of Open Access Journals (Sweden)

    Stephen A Gallo

    Full Text Available Teleconferencing as a setting for scientific peer review is an attractive option for funding agencies, given the substantial environmental and cost savings. Despite this, there is a paucity of published data validating teleconference-based peer review compared to the face-to-face process. Our aim was to conduct a retrospective analysis of scientific peer review data to investigate whether review setting has an effect on review process and outcome measures. We analyzed reviewer scoring data from a research program that had recently modified the review setting from face-to-face to a teleconference format with minimal changes to the overall review procedures. This analysis included approximately 1600 applications over a 4-year period: two years of face-to-face panel meetings compared to two years of teleconference meetings. The average overall scientific merit scores, score distribution, standard deviations and reviewer inter-rater reliability statistics were measured, as well as reviewer demographics and length of time discussing applications. The data indicate that few differences are evident between face-to-face and teleconference settings with regard to average overall scientific merit score, scoring distribution, standard deviation, reviewer demographics or inter-rater reliability. However, some difference was found in the discussion time. These findings suggest that most review outcome measures are unaffected by review setting, which would support the trend of using teleconference reviews rather than face-to-face meetings. However, further studies are needed to assess any correlations among discussion time, application funding and the productivity of funded research projects.

  4. Maintaining Hope in the Face of Evil.

    Science.gov (United States)

    Miller, Geri

    2002-01-01

    P. G. Zimbardo (2001) and M. E. P. Seligman (in an interview with S. Carpenter, 2001) discuss evil and hope in response to the September 11, 2001, disaster. The implications for counseling are presented with an emphasis on how counselors can maintain hope for themselves and their clients in the face of evil. (Author)

  5. The evolution of holistic processing of faces

    Directory of Open Access Journals (Sweden)

    Darren eBurke

    2013-01-01

    Full Text Available In this paper we examine the holistic processing of faces from an evolutionary perspective, clarifying what such an approach entails, and evaluating the extent to which the evidence currently available permits any strong conclusions. While it seems clear that the holistic processing of faces depends on mechanisms evolved to perform that task, our review of the comparative literature reveals that there is currently insufficient evidence (or sometimes insufficiently compelling evidence to decide when in our evolutionary past such processing may have arisen. It is also difficult to assess what kinds of selection pressures may have led to evolution of such a mechanism, or even what kinds of information holistic processing may have originally evolved to extract, given that many sources of socially relevant face-based information other than identity depend on integrating information across different regions of the face – judgements of expression, behavioural intent, attractiveness, sex, age, etc. We suggest some directions for future research that would help to answer these important questions.

  6. Incremental Nonnegative Matrix Factorization for Face Recognition

    Directory of Open Access Journals (Sweden)

    Wen-Sheng Chen

    2008-01-01

    Full Text Available Nonnegative matrix factorization (NMF is a promising approach for local feature extraction in face recognition tasks. However, there are two major drawbacks in almost all existing NMF-based methods. One shortcoming is that the computational cost is expensive for large matrix decomposition. The other is that it must conduct repetitive learning, when the training samples or classes are updated. To overcome these two limitations, this paper proposes a novel incremental nonnegative matrix factorization (INMF for face representation and recognition. The proposed INMF approach is based on a novel constraint criterion and our previous block strategy. It thus has some good properties, such as low computational complexity, sparse coefficient matrix. Also, the coefficient column vectors between different classes are orthogonal. In particular, it can be applied to incremental learning. Two face databases, namely FERET and CMU PIE face databases, are selected for evaluation. Compared with PCA and some state-of-the-art NMF-based methods, our INMF approach gives the best performance.

  7. On Tilting at Windmills while Facing Armageddon.

    Science.gov (United States)

    Park, Roberta J.

    1991-01-01

    Discusses reevaluation of the status of the physical education profession. To achieve professional respectability, physical educators must produce scholarly and scientific knowledge. The article reviews U.S. medicine at the turn of the century, noting the medical profession's struggles 100 years ago were similar to those faced by physical…

  8. Cultural Challenges Faced by Mexican Immigrant Students

    Science.gov (United States)

    Zugel, Kevin

    2012-01-01

    This purpose of this investigation is to explore the cultural challenges faced by Mexican immigrant students through the study of current literature. Four themes emerged as a result of the investigation: dominant pedagogy, educational skills, deficit model, and student identities. The themes are discussed and suggestions are made as to how these…

  9. On the lubrication of mechanical face seals

    NARCIS (Netherlands)

    Lubbinge, Hans

    1999-01-01

    Hence, in this thesis, a model is presented which is able to calculate a complete Stribeck curve for a mechanical face seal and, as a consequence, the transition from full film to mixed lubrication as a function of the operational conditions. This model is based on a combination of a contact model a

  10. Rett syndrome: a study of the face

    NARCIS (Netherlands)

    J.E. Allanson; R.C.M. Hennekam; U. Moog; E.E. Smeets

    2011-01-01

    Rett syndrome is a unique disorder of neurodevelopment that is characterized by an evolving behavioral and developmental phenotype, which emerges after an apparently normal early infantile period. It almost exclusively affects females. The face of Rett syndrome is said to resemble that of Angelman s

  11. Remarks on Face- saving and Politeness Expression

    Institute of Scientific and Technical Information of China (English)

    尤赟蕾

    2011-01-01

    politeness is an important way to achieve good interpersonal relationships, and is a norm imposed by social conventions. Only by saving the face of others and expresses yourself politely can we communicate with each other successfully. We have to preserve the rules when we speak to others, as well as we reply to others.

  12. Face to Faith: Teaching Global Citizenship

    Science.gov (United States)

    Beauchamp, Marcia

    2011-01-01

    The Tony Blair Faith Foundation has created a program that enables students to learn directly with, from, and about one another's culture, religion and beliefs. Face to Faith is a state-of-the-art educational program that addresses cross-cultural and inter-religious understanding in the context of study about global issues. The program uses…

  13. Facing the Knowledge Society: Mexico's Public Universities

    Science.gov (United States)

    Varela-Petito, Gonzalo

    2010-01-01

    Public higher education in Mexico faces major challenges vis-a-vis its position within the modern knowledge society, sparking concern among educational authorities. In the second half of the 20th century Mexican universities ceased to be selective, elitist schools, becoming, instead, massive institutions that reflect social and intellectual…

  14. Active testing for face detection and localization.

    Science.gov (United States)

    Sznitman, Raphael; Jedynak, Bruno

    2010-10-01

    We provide a novel search technique which uses a hierarchical model and a mutual information gain heuristic to efficiently prune the search space when localizing faces in images. We show exponential gains in computation over traditional sliding window approaches, while keeping similar performance levels.

  15. Variability in Photos of the Same Face

    Science.gov (United States)

    Jenkins, Rob; White, David; Van Montfort, Xandra; Burton, A. Mike

    2011-01-01

    Psychological studies of face recognition have typically ignored within-person variation in appearance, instead emphasising differences "between" individuals. Studies typically assume that a photograph adequately captures a person's appearance, and for that reason most studies use just one, or a small number of photos per person. Here we show that…

  16. Anatomy Education Faces Challenges in Pakistan

    Science.gov (United States)

    Memon, Ismail K.

    2009-01-01

    Anatomy education in Pakistan is facing many of the same challenges as in other parts of the world. Roughly, a decade ago, all medical and dental colleges in Pakistan emphasized anatomy as a core basic discipline within a traditional medical science curriculum. Now institutions are adopting problem based learning (PBL) teaching philosophies, and…

  17. Children Facing Divorce: A Treatment Program

    Science.gov (United States)

    Magid, Kenneth M.

    1977-01-01

    The children facing divorce program began last year and was built on the talents of an interdisciplinary staff. Included are experts in client-centered counseling, sociometry and psychodrama, Gestalt and TA, behavior modification, and various eclectic approaches to family therapy. (Author)

  18. Stirring faces: mixing in a quiescent fluid

    CERN Document Server

    Brunton, Steven L

    2012-01-01

    This fluid dynamics video depicts the mixing that occurs as a two-dimensional flat plate plunges sinusoidally in a quiescent fluid. Finite-time Lyapunov exponents reveal sets that are attracting or repelling. As the flow field develops, strange faces emerge.

  19. China Faces Nine Obstacles in Population Development

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    With drastic changes in both the international and domestic environment for population and family planning development, China faces nine major challenges in its efforts to further its population and family planning program, said Zhang Weiqing,Minister of the National Population and Family

  20. Psychophysical thresholds of face visibility during infancy

    DEFF Research Database (Denmark)

    Gelskov, Sofie; Kouider, Sid

    2010-01-01

    . By contrast, 15 month-olds not only revealed adult-like thresholds, but also improved their performance through memory-based strategies. Our results imply that the development of face visibility follows a non-linear course and is determined by a radical improvement occurring between 10 and 15 months....

  1. Women are better at seeing faces where there are none: an ERP study of face pareidolia.

    Science.gov (United States)

    Proverbio, Alice M; Galli, Jessica

    2016-09-01

    Event-related potentials (ERPs) were recorded in 26 right-handed students while they detected pictures of animals intermixed with those of familiar objects, faces and faces-in-things (FITs). The face-specific N170 ERP component over the right hemisphere was larger in response to faces and FITs than to objects. The vertex positive potential (VPP) showed a difference in FIT encoding processes between males and females at frontal sites; while for men, the FIT stimuli elicited a VPP of intermediate amplitude (between that for faces and objects), for women, there was no difference in VPP responses to faces or FITs, suggesting a marked anthropomorphization of objects in women. SwLORETA source reconstructions carried out to estimate the intracortical generators of ERPs in the 150-190 ms time window showed how, in the female brain, FIT perception was associated with the activation of brain areas involved in the affective processing of faces (right STS, BA22; posterior cingulate cortex, BA22; and orbitofrontal cortex, BA10) in addition to regions linked to shape processing (left cuneus, BA18/30). Conversely, in the men, the activation of occipito/parietal regions was prevalent, with a considerably smaller activation of BA10. The data suggest that the female brain is more inclined to anthropomorphize perfectly real objects compared to the male brain.

  2. Face Patch Resting State Networks Link Face Processing to Social Cognition.

    Science.gov (United States)

    Schwiedrzik, Caspar M; Zarco, Wilbert; Everling, Stefan; Freiwald, Winrich A

    2015-01-01

    Faces transmit a wealth of social information. How this information is exchanged between face-processing centers and brain areas supporting social cognition remains largely unclear. Here we identify these routes using resting state functional magnetic resonance imaging in macaque monkeys. We find that face areas functionally connect to specific regions within frontal, temporal, and parietal cortices, as well as subcortical structures supporting emotive, mnemonic, and cognitive functions. This establishes the existence of an extended face-recognition system in the macaque. Furthermore, the face patch resting state networks and the default mode network in monkeys show a pattern of overlap akin to that between the social brain and the default mode network in humans: this overlap specifically includes the posterior superior temporal sulcus, medial parietal, and dorsomedial prefrontal cortex, areas supporting high-level social cognition in humans. Together, these results reveal the embedding of face areas into larger brain networks and suggest that the resting state networks of the face patch system offer a new, easily accessible venue into the functional organization of the social brain and into the evolution of possibly uniquely human social skills.

  3. Face Patch Resting State Networks Link Face Processing to Social Cognition.

    Directory of Open Access Journals (Sweden)

    Caspar M Schwiedrzik

    Full Text Available Faces transmit a wealth of social information. How this information is exchanged between face-processing centers and brain areas supporting social cognition remains largely unclear. Here we identify these routes using resting state functional magnetic resonance imaging in macaque monkeys. We find that face areas functionally connect to specific regions within frontal, temporal, and parietal cortices, as well as subcortical structures supporting emotive, mnemonic, and cognitive functions. This establishes the existence of an extended face-recognition system in the macaque. Furthermore, the face patch resting state networks and the default mode network in monkeys show a pattern of overlap akin to that between the social brain and the default mode network in humans: this overlap specifically includes the posterior superior temporal sulcus, medial parietal, and dorsomedial prefrontal cortex, areas supporting high-level social cognition in humans. Together, these results reveal the embedding of face areas into larger brain networks and suggest that the resting state networks of the face patch system offer a new, easily accessible venue into the functional organization of the social brain and into the evolution of possibly uniquely human social skills.

  4. Interference between face and non-face domains of perceptual expertise: a replication and extension.

    Science.gov (United States)

    Curby, Kim M; Gauthier, Isabel

    2014-01-01

    As car expertise increases, so does interference between the visual processing of faces and that of cars; this suggests performance trade-offs across domains of real-world expertise. Such interference between expert domains has been previously revealed in a relatively complex design, interleaving 2-back part-judgment task with faces and cars (Gauthier et al., 2003). However, the basis of this interference is unclear. Experiment 1A replicated the finding of interference between faces and cars, as a function of car expertise. Experiments 1B and 2 investigated the mechanisms underlying this effect by (1) providing baseline measures of performance and (2) assessing the specificity of this interference effect. Our findings support the presence of expertise-dependent interference between face and non-face domains of expertise. However, surprisingly, it is in the condition where faces are processed among cars with a disrupted configuration where expertise has a greater influence on faces. This finding highlights how expertise-related processing changes also occur for transformed objects of expertise and that such changes can also drive interference across domains of expertise.

  5. Neurophysiological Correlates of Featural and Spacing Processing for Face and Non-face Stimuli

    Science.gov (United States)

    Negrini, Marcello; Brkić, Diandra; Pizzamiglio, Sara; Premoli, Isabella; Rivolta, Davide

    2017-01-01

    The peculiar ability of humans to recognize hundreds of faces at a glance has been attributed to face-specific perceptual mechanisms known as holistic processing. Holistic processing includes the ability to discriminate individual facial features (i.e., featural processing) and their spatial relationships (i.e., spacing processing). Here, we aimed to characterize the spatio-temporal dynamics of featural- and spacing-processing of faces and objects. Nineteen healthy volunteers completed a newly created perceptual discrimination task for faces and objects (i.e., the “University of East London Face Task”) while their brain activity was recorded with a high-density (128 electrodes) electroencephalogram. Our results showed that early event related potentials at around 100 ms post-stimulus onset (i.e., P100) are sensitive to both facial features and spacing between the features. Spacing and features discriminability for objects occurred at circa 200 ms post-stimulus onset (P200). These findings indicate the existence of neurophysiological correlates of spacing vs. features processing in both face and objects, and demonstrate faster brain processing for faces. PMID:28348535

  6. Spatial Location in Brief, Free-Viewing Face Encoding Modulates Contextual Face Recognition

    Directory of Open Access Journals (Sweden)

    Fatima M. Felisberti

    2013-08-01

    Full Text Available The effect of the spatial location of faces in the visual field during brief, free-viewing encoding in subsequent face recognition is not known. This study addressed this question by tagging three groups of faces with cheating, cooperating or neutral behaviours and presenting them for encoding in two visual hemifields (upper vs. lower or left vs. right. Participants then had to indicate if a centrally presented face had been seen before or not. Head and eye movements were free in all phases. Findings showed that the overall recognition of cooperators was significantly better than cheaters, and it was better for faces encoded in the upper hemifield than in the lower hemifield, both in terms of a higher d' and faster reaction time (RT. The d' for any given behaviour in the left and right hemifields was similar. The RT in the left hemifield did not vary with tagged behaviour, whereas the RT in the right hemifield was longer for cheaters than for cooperators. The results showed that memory biases in contextual face recognition were modulated by the spatial location of briefly encoded faces and are discussed in terms of scanning reading habits, top-left bias in lighting preference and peripersonal space.

  7. Social and emotional relevance in face processing: Happy faces of future interaction partners enhance the LPP

    Directory of Open Access Journals (Sweden)

    Florian eBublatzky

    2014-07-01

    Full Text Available Human face perception is modulated by both emotional valence and social relevance, but their interaction has rarely been examined. Event-related brain potentials (ERP to happy, neutral, and angry facial expressions with different degrees of social relevance were recorded. Social relevance was manipulated by presenting pictures of two specific face actors as future interaction partners (meet condition, whereas two other face actors remained non-relevant. As a further control condition all stimuli were presented without specific task instructions (passive viewing condition. A within-subject design (Facial Expression x Relevance x Task was implemented, where randomly ordered face stimuli of four actors (2 women, from the KDEF were presented for 1s to 26 participants (16 female. Results showed an augmented N170, early posterior negativity (EPN, and late positive potential (LPP for emotional in contrast to neutral facial expressions. Of particular interest, face processing varied as a function of instructed social relevance. Whereas the meet condition was accompanied with unspecific effects regardless of relevance (P1, EPN, viewing potential interaction partners was associated with increased LPP amplitudes. The LPP was specifically enhanced for happy facial expressions of the future interaction partners. This underscores that social relevance can impact face processing already at an early stage of visual processing. These findings are discussed within the framework of motivated attention and face processing theories.

  8. Cortical Thickness in Fusiform Face Area Predicts Face and Object Recognition Performance.

    Science.gov (United States)

    McGugin, Rankin W; Van Gulick, Ana E; Gauthier, Isabel

    2016-02-01

    The fusiform face area (FFA) is defined by its selectivity for faces. Several studies have shown that the response of FFA to nonface objects can predict behavioral performance for these objects. However, one possible account is that experts pay more attention to objects in their domain of expertise, driving signals up. Here, we show an effect of expertise with nonface objects in FFA that cannot be explained by differential attention to objects of expertise. We explore the relationship between cortical thickness of FFA and face and object recognition using the Cambridge Face Memory Test and Vanderbilt Expertise Test, respectively. We measured cortical thickness in functionally defined regions in a group of men who evidenced functional expertise effects for cars in FFA. Performance with faces and objects together accounted for approximately 40% of the variance in cortical thickness of several FFA patches. Whereas participants with a thicker FFA cortex performed better with vehicles, those with a thinner FFA cortex performed better with faces and living objects. The results point to a domain-general role of FFA in object perception and reveal an interesting double dissociation that does not contrast faces and objects but rather living and nonliving objects.

  9. Brain Responses Differ to Faces of Mothers and Fathers

    Science.gov (United States)

    Arsalidou, Marie; Barbeau, Emmanuel J.; Bayless, Sarah J.; Taylor, Margot J.

    2010-01-01

    We encounter many faces each day but relatively few are personally familiar. Once faces are familiar, they evoke semantic and social information known about the person. Neuroimaging studies demonstrate differential brain activity to familiar and non-familiar faces; however, brain responses related to personally familiar faces have been more rarely…

  10. Faces on Her and His Mind: Female and Likable.

    Science.gov (United States)

    Pavlova, Marina A; Mayer, Annika; Hösl, Franziska; Sokolov, Alexander N

    2016-01-01

    Faces are a valuable source of non-verbal information for daily life social interaction. Mounting evidence points to gender specificity in face perception. Here we search for the factors that can potentially trigger gender differences in tuning to faces. By using a set of Face-n-Food images slightly bordering on the Giuseppe Arcimboldo style, we examine: (i) whether face resemblance is linked to gender specific face impression, and, if so, whether this association is perceiver gender specific; and (ii) whether images most resembling a face are also most likable for female and male perceivers. First, in a spontaneous recognition task, participants were shown a set of Face-n-Food images in a predetermined order from the least to most resembling a face. Then in a two-alternative forced-choice (2AFC) task, participants judged whether each face appeared for them (i) either female or male (Exp. 1); or (ii) either likable or unlikable (Exp. 2). Remarkably, face resemblance is closely connected to gender specific impressions: images more resembling a face elicit also more female-face responses. This link is not perceiver gender specific as it occurs for both females and males. Moreover, face resemblance is positively linked to face likability, but this holds true only for female perceivers. The findings shed light on gender specificity in tuning to faces, and help to clarify abnormalities of the social brain in neurodevelopmental, psychiatric and psychosomatic disorders.

  11. Suddenly I see! A developmental perspective on face processing

    NARCIS (Netherlands)

    Van den Boomen, C.

    2014-01-01

    The central aim of this PhD thesis was to study typical development of visual mechanisms underlying face processing. Despite the importance of faces for interaction with the environment, little is known about the factors influencing the development of face processing. Perception of a face, and the u

  12. An Analysis of the Face Issues in The Wedding Banquet

    Institute of Scientific and Technical Information of China (English)

    SUN Yan-ni

    2015-01-01

    After a review of current studies both home&abroad about face issue, the thesis analyzes the face issues in the movie The Wedding Banquet from four perspectives with face theory to show the different degrees of concern, understanding, and views of face between Chinese and American.

  13. Newborns' Face Recognition: Role of Inner and Outer Facial Features

    Science.gov (United States)

    Turati, Chiara; Macchi Cassia, Viola; Simion, Francesca; Leo, Irene

    2006-01-01

    Existing data indicate that newborns are able to recognize individual faces, but little is known about what perceptual cues drive this ability. The current study showed that either the inner or outer features of the face can act as sufficient cues for newborns' face recognition (Experiment 1), but the outer part of the face enjoys an advantage…

  14. Passive and motivated perception of emotional faces: qualitative and quantitative changes in the face processing network.

    Directory of Open Access Journals (Sweden)

    Laurie R Skelly

    Full Text Available Emotionally expressive faces are processed by a distributed network of interacting sub-cortical and cortical brain regions. The components of this network have been identified and described in large part by the stimulus properties to which they are sensitive, but as face processing research matures interest has broadened to also probe dynamic interactions between these regions and top-down influences such as task demand and context. While some research has tested the robustness of affective face processing by restricting available attentional resources, it is not known whether face network processing can be augmented by increased motivation to attend to affective face stimuli. Short videos of people expressing emotions were presented to healthy participants during functional magnetic resonance imaging. Motivation to attend to the videos was manipulated by providing an incentive for improved recall performance. During the motivated condition, there was greater coherence among nodes of the face processing network, more widespread correlation between signal intensity and performance, and selective signal increases in a task-relevant subset of face processing regions, including the posterior superior temporal sulcus and right amygdala. In addition, an unexpected task-related laterality effect was seen in the amygdala. These findings provide strong evidence that motivation augments co-activity among nodes of the face processing network and the impact of neural activity on performance. These within-subject effects highlight the necessity to consider motivation when interpreting neural function in special populations, and to further explore the effect of task demands on face processing in healthy brains.

  15. Recognition of face and non-face stimuli in autistic spectrum disorder.

    Science.gov (United States)

    Arkush, Leo; Smith-Collins, Adam P R; Fiorentini, Chiara; Skuse, David H

    2013-12-01

    The ability to remember faces is critical for the development of social competence. From childhood to adulthood, we acquire a high level of expertise in the recognition of facial images, and neural processes become dedicated to sustaining competence. Many people with autism spectrum disorder (ASD) have poor face recognition memory; changes in hairstyle or other non-facial features in an otherwise familiar person affect their recollection skills. The observation implies that they may not use the configuration of the inner face to achieve memory competence, but bolster performance in other ways. We aimed to test this hypothesis by comparing the performance of a group of high-functioning unmedicated adolescents with ASD and a matched control group on a "surprise" face recognition memory task. We compared their memory for unfamiliar faces with their memory for images of houses. To evaluate the role that is played by peripheral cues in assisting recognition memory, we cropped both sets of pictures, retaining only the most salient central features. ASD adolescents had poorer recognition memory for faces than typical controls, but their recognition memory for houses was unimpaired. Cropping images of faces did not disproportionately influence their recall accuracy, relative to controls. House recognition skills (cropped and uncropped) were similar in both groups. In the ASD group only, performance on both sets of task was closely correlated, implying that memory for faces and other complex pictorial stimuli is achieved by domain-general (non-dedicated) cognitive mechanisms. Adolescents with ASD apparently do not use domain-specialized processing of inner facial cues to support face recognition memory.

  16. Face Image Quality and its Improvement in a Face Detection System

    DEFF Research Database (Denmark)

    Kamal, Nasrollahi; Moeslund, Thomas B.

    2008-01-01

    When a person passes by a surveillance camera a sequence of images is obtained. Most of these images are redundant and usually keeping some of them which have better quality is sufficient. So before performing any analysis on the face of a person, the face at the first step needs to be detected....... In the second step the quality of the different face images needs to be evaluated. Finally, after choosing the best image(s) based on this quality assessment, in the third step, if this image(s) is not satisfying a predefined set of measures for good quality images, its quality should be improved. In this work...

  17. Graph Laplace for occluded face completion and recognition.

    Science.gov (United States)

    Deng, Yue; Dai, Qionghai; Zhang, Zengke

    2011-08-01

    This paper proposes a spectral-graph-based algorithm for face image repairing, which can improve the recognition performance on occluded faces. The face completion algorithm proposed in this paper includes three main procedures: 1) sparse representation for partially occluded face classification; 2) image-based data mining; and 3) graph Laplace (GL) for face image completion. The novel part of the proposed framework is GL, as named from graphical models and the Laplace equation, and can achieve a high-quality repairing of damaged or occluded faces. The relationship between the GL and the traditional Poisson equation is proven. We apply our face repairing algorithm to produce completed faces, and use face recognition to evaluate the performance of the algorithm. Experimental results verify the effectiveness of the GL method for occluded face completion.

  18. Face Detection in Digital Image: A Technical Review

    Directory of Open Access Journals (Sweden)

    Devang C

    2015-01-01

    Full Text Available Face detection is the method of focusing faces in input image is an important part of any face processing system. In Face detection, segmentation plays the major role to detect the face. There are many contests for effective and efficient face detection. The aim of this paper is to present a review on several algorithms and methods used for face detection. We read the various surveys and related various techniques according to how they extract features and what learning algorithms are adopted for. Face detection system has two major phases, first to segment skin region from an image and second to decide these regions cover human face or not. There are number of algorithms used in face detection namely Genetic, Hausdorff Distance etc.

  19. Advances in face detection and facial image analysis

    CERN Document Server

    Celebi, M; Smolka, Bogdan

    2016-01-01

    This book presents the state-of-the-art in face detection and analysis. It outlines new research directions, including in particular psychology-based facial dynamics recognition, aimed at various applications such as behavior analysis, deception detection, and diagnosis of various psychological disorders. Topics of interest include face and facial landmark detection, face recognition, facial expression and emotion analysis, facial dynamics analysis, face classification, identification, and clustering, and gaze direction and head pose estimation, as well as applications of face analysis.

  20. Are faces of different species perceived categorically by human observers?

    OpenAIRE

    Campbell, R.; Pascalis, O.; Coleman, M.; Wallace, S B; Benson, P. J.

    1997-01-01

    What are the species boundaries of face processing? Using a face-feature morphing algorithm, image series intermediate between human, monkey (macaque), and bovine faces were constructed. Forced-choice judgement of these images showed sharply bounded categories for upright face images of each species. These predicted the perceptual discrimination boundaries for upright monkey-cow and cow-human images, but not human-monkey images. Species categories were also well-judged for inverted face image...

  1. Student Success in Face-to-Face and Online Sections of Biology Courses at a Community College in East Tennessee

    Science.gov (United States)

    Garman, Deanna Essington

    2012-01-01

    The purpose of this quantitative study was to determine if there were significant differences in student success in face-to-face and online biology courses as categorized by gender, major, and age; and as measured by lecture grades, lab grades, and final course grades. The data used for analyses included data from 170 face-to-face sections and 127…

  2. Counting to 20: Online Implementation of a Face-to-Face, Elementary Mathematics Methods Problem-Solving Activity

    Science.gov (United States)

    Schwartz, Catherine Stein

    2012-01-01

    This study describes implementation of the same problem-solving activity in both online and face-to-face environments. The activity, done in the first class period or first module of a K-2 mathematics methods course, was initially used in a face-to-face class and then adapted later for use in an online class. While the task was originally designed…

  3. Face inversion decreased information about facial identity and expression in face-responsive neurons in macaque area TE.

    Science.gov (United States)

    Sugase-Miyamoto, Yasuko; Matsumoto, Narihisa; Ohyama, Kaoru; Kawano, Kenji

    2014-09-10

    To investigate the effect of face inversion and thatcherization (eye inversion) on temporal processing stages of facial information, single neuron activities in the temporal cortex (area TE) of two rhesus monkeys were recorded. Test stimuli were colored pictures of monkey faces (four with four different expressions), human faces (three with four different expressions), and geometric shapes. Modifications were made in each face-picture, and its four variations were used as stimuli: upright original, inverted original, upright thatcherized, and inverted thatcherized faces. A total of 119 neurons responded to at least one of the upright original facial stimuli. A majority of the neurons (71%) showed activity modulations depending on upright and inverted presentations, and a lesser number of neurons (13%) showed activity modulations depending on original and thatcherized face conditions. In the case of face inversion, information about the fine category (facial identity and expression) decreased, whereas information about the global category (monkey vs human vs shape) was retained for both the original and thatcherized faces. Principal component analysis on the neuronal population responses revealed that the global categorization occurred regardless of the face inversion and that the inverted faces were represented near the upright faces in the principal component analysis space. By contrast, the face inversion decreased the ability to represent human facial identity and monkey facial expression. Thus, the neuronal population represented inverted faces as faces but failed to represent the identity and expression of the inverted faces, indicating that the neuronal representation in area TE cause the perceptual effect of face inversion.

  4. A Comparison of Learning Outcomes in Skills-Based Courses: Online versus Face-to-Face Formats

    Science.gov (United States)

    Callister, Ronda Roberts; Love, Mary Sue

    2016-01-01

    In comparing the learning outcomes of online versus face-to-face courses, skills-based forms of instruction have received little attention. This study asks the question "Can skills-based courses taught online achieve the same outcomes as face-to-face courses in which the instructor and students interacting in real time may have higher levels…

  5. Attitudes toward Face-to-Face and Online Counseling: Roles of Self-Concealment, Openness to Experience, Loss of Face, Stigma, and Disclosure Expectations among Korean College Students

    Science.gov (United States)

    Bathje, Geoff J.; Kim, Eunha; Rau, Ellen; Bassiouny, Muhammad Adam; Kim, Taehoon

    2014-01-01

    This study examined attitudes toward face-to-face (f2f) and online counseling among 228 Korean college students. In addition, it tested a hypothesized model proposing that general propensities (i.e., self-concealment, openness to experience, and loss of face) would influence counseling-specific expectations (i.e., self-stigma and disclosure…

  6. Effects of unconscious processing on implicit memory for fearful faces.

    Directory of Open Access Journals (Sweden)

    Jiongjiong Yang

    Full Text Available Emotional stimuli can be processed even when participants perceive them without conscious awareness, but the extent to which unconsciously processed emotional stimuli influence implicit memory after short and long delays is not fully understood. We addressed this issue by measuring a subliminal affective priming effect in Experiment 1 and a long-term priming effect in Experiment 2. In Experiment 1, a flashed fearful or neutral face masked by a scrambled face was presented three times, then a target face (either fearful or neutral was presented and participants were asked to make a fearful/neutral judgment. We found that, relative to a neutral prime face (neutral-fear face, a fearful prime face speeded up participants' reaction to a fearful target (fear-fear face, when they were not aware of the masked prime face. But this response pattern did not apply to the neutral target. In Experiment 2, participants were first presented with a masked faces six times during encoding. Three minutes later, they were asked to make a fearful/neutral judgment for the same face with congruent expression, the same face with incongruent expression or a new face. Participants showed a significant priming effect for the fearful faces but not for the neutral faces, regardless of their awareness of the masked faces during encoding. These results provided evidence that unconsciously processed stimuli could enhance emotional memory after both short and long delays. It indicates that emotion can enhance memory processing whether the stimuli are encoded consciously or unconsciously.

  7. Nonverbal behavior during face-to-face social interaction in schizophrenia: a review.

    Science.gov (United States)

    Lavelle, Mary; Healey, Patrick G T; McCabe, Rosemarie

    2014-01-01

    Patients with a diagnosis of schizophrenia display social cognitive deficits. However, little is known about patients' nonverbal communication during their social encounters with others. This review identified 17 studies investigating nonverbal communication in patients' unscripted face-to-face interactions, addressing a) nonverbal differences between patients and others, b) nonverbal behavior of the patients' partners, c) the association between nonverbal behavior and symptoms, and d) the association between nonverbal behavior and social outcomes. Patients displayed fewer nonverbal behaviors inviting interaction, with negative symptoms exacerbating this pattern. Positive symptoms were associated with heightened nonverbal behavior. Patients' partners changed their own nonverbal behavior in response to the patient. Reduced prosocial behaviors, inviting interaction, were associated with poorer social outcomes. The evidence suggests that patients' nonverbal behavior, during face-to-face interaction, is influenced by patients symptoms and impacts the success of their social interactions.

  8. Interplay between telecommunications and face-to-face interactions: a study using mobile phone data.

    Science.gov (United States)

    Calabrese, Francesco; Smoreda, Zbigniew; Blondel, Vincent D; Ratti, Carlo

    2011-01-01

    In this study we analyze one year of anonymized telecommunications data for over one million customers from a large European cellphone operator, and we investigate the relationship between people's calls and their physical location. We discover that more than 90% of users who have called each other have also shared the same space (cell tower), even if they live far apart. Moreover, we find that close to 70% of users who call each other frequently (at least once per month on average) have shared the same space at the same time--an instance that we call co-location. Co-locations appear indicative of coordination calls, which occur just before face-to-face meetings. Their number is highly predictable based on the amount of calls between two users and the distance between their home locations--suggesting a new way to quantify the interplay between telecommunications and face-to-face interactions.

  9. Face Recognition (Patterns Matching & Bio-Metrics

    Directory of Open Access Journals (Sweden)

    Jignesh Dhirubhai Hirapara

    2012-08-01

    Full Text Available Government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously exposed flaws and weaknesses in today’s safety mechanisms. Badge or password-based authentication procedures are too easy to hack. Biometrics represents a valid alternative but they suffer of drawbacks as well. Iris scanning, for example, is very reliable but too intrusive; fingerprints are socially accepted, but not applicable to non-con sentient people. On the other hand, face recognition represents a good compromise between what’s socially acceptable and what’s reliable, even when operating under controlled conditions. In last decade, many algorithms based on linear/nonlinear methods, neural networks, wavelets, etc. have been proposed. Nevertheless, Face Recognition Vendor Test 2002 shown that most of these approaches encountered problems in outdoor conditions. This lowered their reliability compared to state of the art biometrics.

  10. Passport officers' errors in face matching.

    Directory of Open Access Journals (Sweden)

    David White

    Full Text Available Photo-ID is widely used in security settings, despite research showing that viewers find it very difficult to match unfamiliar faces. Here we test participants with specialist experience and training in the task: passport-issuing officers. First, we ask officers to compare photos to live ID-card bearers, and observe high error rates, including 14% false acceptance of 'fraudulent' photos. Second, we compare passport officers with a set of student participants, and find equally poor levels of accuracy in both groups. Finally, we observe that passport officers show no performance advantage over the general population on a standardised face-matching task. Across all tasks, we observe very large individual differences: while average performance of passport staff was poor, some officers performed very accurately--though this was not related to length of experience or training. We propose that improvements in security could be made by emphasising personnel selection.

  11. Citrobacter koseri folliculitis of the face.

    Science.gov (United States)

    Raia, D D; Barbareschi, M; Veraldi, S

    2015-10-01

    We report a case of severe Citrobacter koseri folliculitis of the face in a boy with acne. A 15-year-old boy affected by acne was admitted because of a rash located on the face. Dermatological examination revealed two large plaques, with numerous pustules, eschars and crusts, located bilaterally and symmetrically on the cheeks. Three bacteriological examinations were positive for C. koseri. The patient was successfully treated with i.m. ceftriaxone. C. koseri is a Gram-negative, aerobic, mobile, nonsporulating bacillus belonging to the Enterobacteriaceae family. It can cause meningitis, central nervous system abscess and sepsis, almost exclusively in infants and immunocompromised hosts. Respiratory tract and urinary infections have been reported in elderly people. Furthermore, rare cases of skin infections have been described.

  12. Enhanced Face Recognition using Data Fusion

    Directory of Open Access Journals (Sweden)

    Alaa Eleyan

    2012-12-01

    Full Text Available In this paper we scrutinize the influence of fusion on the face recognition performance. In pattern recognition task, benefiting from different uncorrelated observations and performing fusion at feature and/or decision levels improves the overall performance. In features fusion approach, we fuse (concatenate the feature vectors obtained using different feature extractors for the same image. Classification is then performed using different similarity measures. In decisions fusion approach, the fusion is performed at decisions level, where decisions from different algorithms are fused using majority voting. The proposed method was tested using face images having different facial expressions and conditions obtained from ORL and FRAV2D databases. Simulations results show that the performance of both feature and decision fusion approaches outperforms the single performances of the fused algorithms significantly.

  13. Fetal diprosopus (Double face: A case report

    Directory of Open Access Journals (Sweden)

    Onankpa BO, Ukwu E, Singh S, Adoke AU, Tahir A

    2014-04-01

    Full Text Available Diprosopus is an extremely rare form of congenital anomaly that results in partial or total duplication of the face. Most cases of diprosopus are delivered as stillborn or die few moments after delivery. The aim of this report is to alert clinicians that the antenatal finding of polyhydramnious may be strongly associated with fetal diprosopus, this routine high resolution anomaly scans should be recommended to help detect such anomaly early in pregnancy. We report a case of a female neonate with partial duplication of the face (diprosopus delivered by a 39 year old booked multipara. Baby’s condition deteriorated within 24hrs with worsening respiratory distress and died on the 2nd day of life.

  14. Facing the partner influences exchanges in force

    Science.gov (United States)

    Takagi, Atsushi; Bagnato, Carlo; Burdet, Etienne

    2016-01-01

    Many studies in psychology have documented how the behaviour of verbally communicating pairs is affected by social factors such as the partner’s gaze. However, few studies have examined whether physically interacting pairs are influenced by social factors. Here, we asked two partners to exchange forces with one another, where the goal was to accurately replicate the force back onto the other. We first measured an individual’s accuracy in reproducing a force from a robot. We then tested pairs who knowingly exchanged forces whilst separated by a curtain. These separated pairs exchanged forces as two independent individuals would, hence the force reproduction accuracy of partners is not affected by knowingly reproducing a force onto a nonvisible partner. On the other hand, pairs who exchanged forces whilst facing one another consistently under-reproduced the partner’s force in comparison to separated partners. Thus, the force reproduction accuracy of subjects is strongly biased by facing a partner. PMID:27739492

  15. Automatic Age Estimation System for Face Images

    Directory of Open Access Journals (Sweden)

    Chin-Teng Lin

    2012-11-01

    Full Text Available Humans are the most important tracking objects in surveillance systems. However, human tracking is not enough to provide the required information for personalized recognition. In this paper, we present a novel and reliable framework for automatic age estimation based on computer vision. It exploits global face features based on the combination of Gabor wavelets and orthogonal locality preserving projections. In addition, the proposed system can extract face aging features automatically in real‐time. This means that the proposed system has more potential in applications compared to other semi‐automatic systems. The results obtained from this novel approach could provide clearer insight for operators in the field of age estimation to develop real‐world applications.

  16. Facing Violence and Conflict with Communication

    DEFF Research Database (Denmark)

    Tufte, Thomas

    2012-01-01

    the negative forces such as aggression, desperation, violence and conflicts. Particularly, I explore the power of storytelling as a communicative strategy. I focus on the principles of empathy, dialogue and diversity inherent in the communication model that anchors storytelling methodology. I argue......In this essay the focus is around the material conditions of poverty, anxiety, social instability and insecurity faced by many around the globe. I articulate a communication theory and practical model that can address the aggression and desperation, which are embedded in violent practices...... and conflicts. My assertion is that many communicative disconnects lie in between the constructs of anxiety, insecurity and instability faced by many individuals in the world today and the inadequate way in which governments and other authorities communicate with their publics. My claim...

  17. Myxoinflammatory fibroblastic sarcoma of the face.

    Science.gov (United States)

    Gómez Martín, Cristina; Ortega, María I; Aramburu, José A; Fernández-Cañamaque, José L

    2012-08-01

    Myxoinflammatory fibroblastic sarcoma (MIFS) is a rare low-grade tumor of modified fibroblasts, with tendency to local recurrence. This unusual entity typically presents as a slow-growing painless mass in the distal extremities of middle-aged subjects. A 48-year-old woman presented to our clinic with a painless subcutaneous mass in the right temporal region. Excisional biopsy made the rare diagnosis of MIFS. Histologic examination showed the unique features that characterize this lesion: a myxoid component with a superimposed inflammatory infiltrate and the presence of distinctive, large, and bizarre Reed-Stemberg-like cells. A second wide tumor bed resection was performed, achieving clear margins. No adjuvant therapy was administered, and the patient is free of disease at 18 months postoperatively. To the best of our knowledge, this is the first reported case of MIFS presenting in the face. This adds another possibility for differential diagnoses of soft tissue tumors of the face.

  18. Parallel Architecture for Face Recognition using MPI

    Directory of Open Access Journals (Sweden)

    Dalia Shouman Ibrahim

    2017-01-01

    Full Text Available The face recognition applications are widely used in different fields like security and computer vision. The recognition process should be done in real time to take fast decisions. Princi-ple Component Analysis (PCA considered as feature extraction technique and is widely used in facial recognition applications by projecting images in new face space. PCA can reduce the dimensionality of the image. However, PCA consumes a lot of processing time due to its high intensive computation nature. Hence, this paper proposes two different parallel architectures to accelerate training and testing phases of PCA algorithm by exploiting the benefits of distributed memory architecture. The experimental results show that the proposed architectures achieve linear speed-up and system scalability on different data sizes from the Facial Recognition Technology (FERET database.

  19. Face Detection under Complex Background and Illumination

    Institute of Scientific and Technical Information of China (English)

    Shao-Dong Lv; Yong-Duan Song; Mei Xu; Cong-Ying Huang

    2015-01-01

    Abstract⎯For face detection under complex background and illumination, a detection method that combines the skin color segmentation and cost-sensitive Adaboost algorithm is proposed in this paper. First, by using the characteristic of human skin color clustering in the color space, the skin color area inYCbCr color space is extracted and a large number of irrelevant backgrounds are excluded; then for remedyingthe deficiencies of Adaboost algorithm, the cost-sensitive function is introduced into the Adaboost algorithm; finally the skin color segmentation and cost-sensitive Adaboost algorithm are combined for the face detection. Experimental results show that the proposed detection method has a higher detection rate and detection speed, which can more adapt to the actual field environment.

  20. A Sparse-Feature-Based Face Detector

    Institute of Scientific and Technical Information of China (English)

    LUXiaofeng; ZHENGNanning; ZHENGSongfeng

    2003-01-01

    Local features and global features are two kinds of important statistical features used to distinguish faces from nonfaces. They are both special cases of sparse features. A final classifier can be considered as a combination of a set of selected weak classiflers, and each weak classifier uses a sparse feature to classify samples. Motivated by this thought, we construct an over complete set of weak classifiers using LPSVM (Linear proximal support vector machine) algorithm, and then we select part of them using AdaBoost algorithm and combine the selected weak classifiers to form a strong classifier. And duringthe course of feature extraction and selection, our method can minimize the classification error directly, whereas most previous works cannot do this. The main difference from other methods is that the local features are learned from the training set instead of being arbitrarily defined. We applied our method to face detection; the test result shows that this method performs well.

  1. 2DPCA versus PCA for face recognition

    Institute of Scientific and Technical Information of China (English)

    HU Jian-jun; TAN Guan-zheng; LUAN Feng-gang; A. S. M. LIBDA

    2015-01-01

    Dimensionality reduction methods play an important role in face recognition. Principal component analysis (PCA) and two-dimensional principal component analysis (2DPCA) are two kinds of important methods in this field. Recent research seems like that 2DPCA method is superior to PCA method. To prove if this conclusion is always true, a comprehensive comparison study between PCA and 2DPCA methods was carried out. A novel concept, called column-image difference (CID), was proposed to analyze the difference between PCA and 2DPCA methods in theory. It is found that there exist some restrictive conditions when 2DPCA outperforms PCA. After theoretical analysis, the experiments were conducted on four famous face image databases. The experiment results confirm the validity of theoretical claim.

  2. 3D face analysis for demographic biometrics

    Energy Technology Data Exchange (ETDEWEB)

    Tokola, Ryan A [ORNL; Mikkilineni, Aravind K [ORNL; Boehnen, Chris Bensing [ORNL

    2015-01-01

    Despite being increasingly easy to acquire, 3D data is rarely used for face-based biometrics applications beyond identification. Recent work in image-based demographic biometrics has enjoyed much success, but these approaches suffer from the well-known limitations of 2D representations, particularly variations in illumination, texture, and pose, as well as a fundamental inability to describe 3D shape. This paper shows that simple 3D shape features in a face-based coordinate system are capable of representing many biometric attributes without problem-specific models or specialized domain knowledge. The same feature vector achieves impressive results for problems as diverse as age estimation, gender classification, and race classification.

  3. The Effects of Non-traditional Teaching Styles on College Mathematics between Face-to-face and Online Students

    Directory of Open Access Journals (Sweden)

    Peter KIRIAKIDIS

    2011-12-01

    Full Text Available Limited research exists on the effects of teaching styles on college mathematics between face-to-face and online students. The purpose of this experimental quantitative research was to examine the effects of teaching styles on college mathematics between face-to-face and online students. The research question was “What are the effects of teaching styles on college mathematics between face-to-face and online students?” The participants were college students who took math classes either face-to-face or online. The participants were taught by the same professors the same math curricula. The findings of this research may shed further light on the effects of teaching styles on college mathematics between face-to-face and online students.

  4. Individual differences in adaptive coding of face identity are linked to individual differences in face recognition ability.

    Science.gov (United States)

    Rhodes, Gillian; Jeffery, Linda; Taylor, Libby; Hayward, William G; Ewing, Louise

    2014-06-01

    Despite their similarity as visual patterns, we can discriminate and recognize many thousands of faces. This expertise has been linked to 2 coding mechanisms: holistic integration of information across the face and adaptive coding of face identity using norms tuned by experience. Recently, individual differences in face recognition ability have been discovered and linked to differences in holistic coding. Here we show that they are also linked to individual differences in adaptive coding of face identity, measured using face identity aftereffects. Identity aftereffects correlated significantly with several measures of face-selective recognition ability. They also correlated marginally with own-race face recognition ability, suggesting a role for adaptive coding in the well-known other-race effect. More generally, these results highlight the important functional role of adaptive face-coding mechanisms in face expertise, taking us beyond the traditional focus on holistic coding mechanisms.

  5. Virtual Professional Learning Communities: Teachers' Perceptions of Virtual Versus Face-to-Face Professional Development

    Science.gov (United States)

    McConnell, Tom J.; Parker, Joyce M.; Eberhardt, Jan; Koehler, Matthew J.; Lundeberg, Mary A.

    2013-06-01

    Research suggests that professional development that engages teachers in instructional inquiry over an extended time through collaborative professional learning communities (PLCs) is effective in improving instruction and student achievement. Still, most professional development is offered as short-duration workshops that are not effective in changing practice. Barriers to the implementation of PLCs include lack of shared meeting time and a shortage of teachers who share the same subject areas or common goals and interests. Convening teachers from multiple districts can alleviate this problem, but teachers are reluctant to travel for meetings due to time and cost restraints. Video-conferencing software offers a solution to these barriers while serving to foster the sense of community needed for PLCs to be effective. The researchers describe the use of Virtual PLCs in which two groups of teachers met monthly for one school year to collaboratively analyze evidence collected as part of their teacher inquiry plans. With help from a facilitator, these groups developed a relationship similar to other groups meeting face-to-face as part of the same professional development program. Analysis of the reflections of teacher-participants and facilitators revealed that teachers prefer face-to-face meetings, but that the virtual and face-to-face meetings provided teachers with similar social interactions in the PLC experience. The findings suggest that teachers perceive videoconferencing as an effective tool for facilitating PLCs when distance and time are practical barriers to face-to-face meetings. Practical considerations for developing and facilitating virtual PLCs are also discussed.

  6. Face-to-face Tobacco Sales: What Retailers Need to Know PSA (:30)

    Centers for Disease Control (CDC) Podcasts

    2010-09-30

    PSA to help raise retailers' awareness of the new federal tobacco regulations related to the sale of cigarettes and smokeless tobacco products to people under 18 and the requirement to sell products face-to-face.  Created: 9/30/2010 by The CDC Division of News and Electronic Media and the FDA Center for Tobacco Products.   Date Released: 9/30/2010.

  7. Face Recognition using Segmental Euclidean Distance

    Directory of Open Access Journals (Sweden)

    Farrukh Sayeed

    2011-09-01

    Full Text Available In this paper an attempt has been made to detect the face using the combination of integral image along with the cascade structured classifier which is built using Adaboost learning algorithm. The detected faces are then passed through a filtering process for discarding the non face regions. They are individually split up into five segments consisting of forehead, eyes, nose, mouth and chin. Each segment is considered as a separate image and Eigenface also called principal component analysis (PCA features of each segment is computed. The faces having a slight pose are also aligned for proper segmentation. The test image is also segmented similarly and its PCA features are found. The segmental Euclidean distance classifier is used for matching the test image with the stored one. The success rate comes out to be 88 per cent on the CG(full database created from the databases of California Institute and Georgia Institute. However the performance of this approach on ORL(full database with the same features is only 70 per cent. For the sake of comparison, DCT(full and fuzzy features are tried on CG and ORL databases but using a well known classifier, support vector machine (SVM. Results of recognition rate with DCT features on SVM classifier are increased by 3 per cent over those due to PCA features and Euclidean distance classifier on the CG database. The results of recognition are improved to 96 per cent with fuzzy features on ORL database with SVM.Defence Science Journal, 2011, 61(5, pp.431-442, DOI:http://dx.doi.org/10.14429/dsj.61.1178

  8. Inversion identities for inhomogeneous face models

    Science.gov (United States)

    Frahm, Holger; Karaiskos, Nikos

    2014-10-01

    We derive exact inversion identities satisfied by the transfer matrix of inhomogeneous interaction-round-a-face (IRF) models with arbitrary boundary conditions using the underlying integrable structure and crossing properties of the local Boltzmann weights. For the critical restricted solid-on-solid (RSOS) models these identities together with some information on the analytical properties of the transfer matrix determine the spectrum completely and allow to derive the Bethe equations for both periodic and general open boundary conditions.

  9. Inversion identities for inhomogeneous face models

    Directory of Open Access Journals (Sweden)

    Holger Frahm

    2014-10-01

    Full Text Available We derive exact inversion identities satisfied by the transfer matrix of inhomogeneous interaction-round-a-face (IRF models with arbitrary boundary conditions using the underlying integrable structure and crossing properties of the local Boltzmann weights. For the critical restricted solid-on-solid (RSOS models these identities together with some information on the analytical properties of the transfer matrix determine the spectrum completely and allow to derive the Bethe equations for both periodic and general open boundary conditions.

  10. Inversion identities for inhomogeneous face models

    Energy Technology Data Exchange (ETDEWEB)

    Frahm, Holger; Karaiskos, Nikos

    2014-10-15

    We derive exact inversion identities satisfied by the transfer matrix of inhomogeneous interaction-round-a-face (IRF) models with arbitrary boundary conditions using the underlying integrable structure and crossing properties of the local Boltzmann weights. For the critical restricted solid-on-solid (RSOS) models these identities together with some information on the analytical properties of the transfer matrix determine the spectrum completely and allow to derive the Bethe equations for both periodic and general open boundary conditions.

  11. Reconhecimento de faces 3D com Kinect

    OpenAIRE

    Cardia Neto, João Baptista [UNESP

    2014-01-01

    For person identification, facil recognition has several advantages over other biometric traits due mostly to its high universelly, collectability, and acceptability. When dealing with 2D face images several problems arise related to pose, illumination, and facial expressions. To increase the performance of facial recognition, 3D mehtods have been proposed and developedm since working with 3D objects allow us to handle better the aforementioned problems. With 3D object, it is possible to rota...

  12. Exploring the challenges faced by polytechnic students

    Science.gov (United States)

    Matore, Mohd Effendi @ Ewan Mohd; Khairani, Ahmad Zamri

    2015-02-01

    This study aims to identify other challenges besides those already faced by students, in seven polytechnics in Malaysia as a continuation to the previous research that had identified 52 main challenges faced by students using the Rasch Model. The explorative study focuses on the challenges that are not included in the Mooney Problem Checklist (MPCL). A total of 121 polytechnic students submitted 183 written responses through the open questions provided. Two hundred fifty two students had responded from a students' perspective on the dichotomous questions regarding their view on the challenges faced. The data was analysed qualitatively using the NVivo 8.0. The findings showed that students from Politeknik Seberang Perai (PSP) gave the highest response, which was 56 (30.6%) and Politeknik Metro Kuala Lumpur (PMKL) had the lowest response of 2 (1.09%). Five dominant challenges were identified, which were the English language (32, 17.5%), learning (14, 7.7%), vehicles (13, 7.1%), information technology and communication (ICT) (13, 7.1%), and peers (11, 6.0%). This article, however, focus on three apparent challenges, namely, English language, vehicles, as well as computer and ICT, as the challenges of learning and peers had been analysed in the previous MPCL. The challenge of English language that had been raised was regarding the weakness in commanding the aspects of speech and fluency. The computer and ICT challenge covered the weakness in mastering ICT and computers, as well as computer breakdowns and low-performance computers. The challenge of vehicles emphasized the unavailability of vehicles to attend lectures and go elsewhere, lack of transportation service in the polytechnic and not having a valid driving license. These challenges are very relevant and need to be discussed in an effort to prepare polytechnics in facing the transformational process of polytechnics.

  13. Challenges and opportunities facing contractors in Ghana

    OpenAIRE

    Laryea, Samuel Amartei

    2010-01-01

    The main aim of this study was to ascertain and discuss the current challenges and opportunities facing construction contractors in Ghana. This involved a review of the economic, legal and political environments in which contractors in Ghana operate; a review of published studies on construction in developing countries generally and Ghana specifically; and in-depth interviews and discussions with seven building and civil engineering contractors in Ghana in 2009 and 2010. Six road contractors ...

  14. Wheelchair Seating Assessment and Intervention: A Comparison between Telerehabilitation and Face-to-Face Service

    Directory of Open Access Journals (Sweden)

    Ingrid G Barlow

    2009-09-01

    Full Text Available This study compared outcomes of wheelchair seating and positioning interventions provided by telerehabilitation (n=10 and face-to-face (n=20; 10 in each of two comparison groups, one urban and one rural. Comparison clients were matched to the telerehabilitation clients in age, diagnosis, and type of seating components received. Clients and referring therapists rated their satisfaction and identified if seating intervention goals were met. Clients recorded travel expenses incurred or saved, and all therapists recorded time spent providing service. Wait times and completion times were tracked. Clients seen by telerehabilitation had similar satisfaction ratings and were as likely to have their goals met as clients seen face-to-face; telerehabilitation clients saved travel costs. Rural referring therapists who used telerehabilitation spent more time in preparation and follow-up than the other groups. Clients assessed by telerehabilitation had shorter wait times for assessment than rural face-to-face clients, but their interventions took as long to complete. Keywords: Telerehabilitation, Telehealth, Videoconferencing, Wheelchair Seating, Outcomes, Rehabilitation

  15. The Faces in Radiological Images: Fusiform Face Area Supports Radiological Expertise.

    Science.gov (United States)

    Bilalić, Merim; Grottenthaler, Thomas; Nägele, Thomas; Lindig, Tobias

    2016-03-01

    The fusiform face area (FFA) has often been used as an example of a brain module that was developed through evolution to serve a specific purpose-face processing. Many believe, however, that FFA is responsible for holistic processing associated with any kind of expertise. The expertise view has been tested with various stimuli, with mixed results. One of the main stumbling blocks in the FFA controversy has been the fact that the stimuli used have been similar to faces. Here, we circumvent the problem by using radiological images, X-rays, which bear no resemblance to faces. We demonstrate that FFA can distinguish between X-rays and other stimuli by employing multivariate pattern analysis. The sensitivity to X-rays was significantly better in experienced radiologists than that in medical students with limited radiological experience. For the radiologists, it was also possible to use the patterns of FFA activations obtained on faces to differentiate X-ray stimuli from other stimuli. The overlap in the FFA activation is not based on visual similarity of faces and X-rays but rather on the processes necessary for expertise with both kinds of stimulus. Our results support the expertise view that FFA's main function is related to holistic processing.

  16. Exploring relationship between face-to-face interaction and team performance using wearable sensor badges.

    Science.gov (United States)

    Watanabe, Jun-ichiro; Ishibashi, Nozomu; Yano, Kazuo

    2014-01-01

    Quantitative analyses of human-generated data collected in various fields have uncovered many patterns of complex human behaviors. However, thus far the quantitative evaluation of the relationship between the physical behaviors of employees and their performance has been inadequate. Here, we present findings demonstrating the significant relationship between the physical behaviors of employees and their performance via experiments we conducted in inbound call centers while the employees wore sensor badges. There were two main findings. First, we found that face-to-face interaction among telecommunicators and the frequency of their bodily movements caused by the face-to-face interaction had a significant correlation with the entire call center performance, which we measured as "Calls per Hour." Second, our trial to activate face-to-face interaction on the basis of data collected by the wearable sensor badges the employees wore significantly increased their performance. These results demonstrate quantitatively that human-human interaction in the physical world plays an important role in team performance.

  17. Producing Irony in Adolescence: A Comparison Between Face-to-Face and Computer-Mediated Communication

    Directory of Open Access Journals (Sweden)

    Aguert Marc

    2016-12-01

    Full Text Available The literature suggests that irony production expands in the developmental period of adolescence. We aimed to test this hypothesis by investigating two channels: face-to-face and computer-mediated communication (CMC. Corpora were collected by asking seventh and 11th graders to freely discuss some general topics (e.g., music, either face-to-face or on online forums. Results showed that 6.2% of the 11th graders’ productions were ironic utterances, compared with just 2.5% of the seventh graders’ productions, confirming the major development of irony production in adolescence. Results also showed that adolescents produced more ironic utterances in CMC than face-to-face. The analysis suggested that irony use is a strategy for increasing in-group solidarity and compensating for the distance intrinsic to CMC, as it was mostly inclusive and well-marked on forums. The present study also confirmed previous studies showing that irony is compatible with CMC.

  18. Faces are special but not too special: spared face recognition in amnesia is based on familiarity.

    Science.gov (United States)

    Aly, Mariam; Knight, Robert T; Yonelinas, Andrew P

    2010-11-01

    Most current theories of human memory are material-general in the sense that they assume that the medial temporal lobe (MTL) is important for retrieving the details of prior events, regardless of the specific type of materials. Recent studies of amnesia have challenged the material-general assumption by suggesting that the MTL may be necessary for remembering words, but is not involved in remembering faces. We examined recognition memory for faces and words in a group of amnesic patients, which included hypoxic patients and patients with extensive left or right MTL lesions. Recognition confidence judgments were used to plot receiver operating characteristics (ROCs) in order to more fully quantify recognition performance and to estimate the contributions of recollection and familiarity. Consistent with the extant literature, an analysis of overall recognition accuracy showed that the patients were impaired at word memory but had spared face memory. However, the ROC analysis indicated that the patients were generally impaired at high confidence recognition responses for faces and words, and they exhibited significant recollection impairments for both types of materials. Familiarity for faces was preserved in all patients, but extensive left MTL damage impaired familiarity for words. These results show that face recognition may appear to be spared because performance tends to rely heavily on familiarity, a process that is relatively well preserved in amnesia. In addition, the findings challenge material-general theories of memory, and suggest that both material and process are important determinants of memory performance in amnesia.

  19. Exploring Relationship between Face-to-Face Interaction and Team Performance Using Wearable Sensor Badges

    Science.gov (United States)

    Watanabe, Jun-ichiro; Ishibashi, Nozomu; Yano, Kazuo

    2014-01-01

    Quantitative analyses of human-generated data collected in various fields have uncovered many patterns of complex human behaviors. However, thus far the quantitative evaluation of the relationship between the physical behaviors of employees and their performance has been inadequate. Here, we present findings demonstrating the significant relationship between the physical behaviors of employees and their performance via experiments we conducted in inbound call centers while the employees wore sensor badges. There were two main findings. First, we found that face-to-face interaction among telecommunicators and the frequency of their bodily movements caused by the face-to-face interaction had a significant correlation with the entire call center performance, which we measured as “Calls per Hour.” Second, our trial to activate face-to-face interaction on the basis of data collected by the wearable sensor badges the employees wore significantly increased their performance. These results demonstrate quantitatively that human-human interaction in the physical world plays an important role in team performance. PMID:25501748

  20. Exploring relationship between face-to-face interaction and team performance using wearable sensor badges.

    Directory of Open Access Journals (Sweden)

    Jun-ichiro Watanabe

    Full Text Available Quantitative analyses of human-generated data collected in various fields have uncovered many patterns of complex human behaviors. However, thus far the quantitative evaluation of the relationship between the physical behaviors of employees and their performance has been inadequate. Here, we present findings demonstrating the significant relationship between the physical behaviors of employees and their performance via experiments we conducted in inbound call centers while the employees wore sensor badges. There were two main findings. First, we found that face-to-face interaction among telecommunicators and the frequency of their bodily movements caused by the face-to-face interaction had a significant correlation with the entire call center performance, which we measured as "Calls per Hour." Second, our trial to activate face-to-face interaction on the basis of data collected by the wearable sensor badges the employees wore significantly increased their performance. These results demonstrate quantitatively that human-human interaction in the physical world plays an important role in team performance.

  1. A Case Study: Are Traditional Face-To-Face Lectures Still Relevant When Teaching Engineering Courses?

    Directory of Open Access Journals (Sweden)

    LillAnne Jackson

    2013-12-01

    Full Text Available In this rapidly changing age, with virtually all information available on the Internet including courses, students may not find any reason to physically attend the lectures. In spite of the many benefits the online lectures and materials bring to teaching, this drift from the traditional (norm face-to-face lectures is also creating further barriers, such as difficulty in communicating and building personal relationships, between students and instructor. In this paper we carry out a study that presents and analyzes factors that motivate students to attend a (1 face-to-face instruction in-class versus an (2 online class. This study is based on an anonymous and voluntary survey that was conducted in the School of Engineering at University of Victoria, BC, Canada. This paper presents and shares the detailed results and analysis of this survey that also includes some interesting and useful comments from the students. Based on the results, analysis and comments the paper suggests methodologies of how to improve face-to-face in-class instructions to make them more relevant to the current global information age.

  2. Tolerance for distorted faces: challenges to a configural processing account of familiar face recognition.

    Science.gov (United States)

    Sandford, Adam; Burton, A Mike

    2014-09-01

    Face recognition is widely held to rely on 'configural processing', an analysis of spatial relations between facial features. We present three experiments in which viewers were shown distorted faces, and asked to resize these to their correct shape. Based on configural theories appealing to metric distances between features, we reason that this should be an easier task for familiar than unfamiliar faces (whose subtle arrangements of features are unknown). In fact, participants were inaccurate at this task, making between 8% and 13% errors across experiments. Importantly, we observed no advantage for familiar faces: in one experiment participants were more accurate with unfamiliars, and in two experiments there was no difference. These findings were not due to general task difficulty - participants were able to resize blocks of colour to target shapes (squares) more accurately. We also found an advantage of familiarity for resizing other stimuli (brand logos). If configural processing does underlie face recognition, these results place constraints on the definition of 'configural'. Alternatively, familiar face recognition might rely on more complex criteria - based on tolerance to within-person variation rather than highly specific measurement.

  3. Face recognition: a model specific ability

    Directory of Open Access Journals (Sweden)

    Jeremy B Wilmer

    2014-10-01

    Full Text Available In our everyday lives, we view it as a matter of course that different people are good at different things. It can be surprising, in this context, to learn that most of what is known about cognitive ability variation across individuals concerns the broadest of all cognitive abilities, often labeled g. In contrast, our knowledge of specific abilities, those that correlate little with g, is severely constrained. Here, we draw upon our experience investigating an exceptionally specific ability, face recognition, to make the case that many specific abilities could easily have been missed. In making this case, we derive key insights from earlier false starts in the measurement of face recognition’s variation across individuals, and we highlight the convergence of factors that enabled the recent discovery that this variation is specific. We propose that the case of face recognition ability illustrates a set of tools and perspectives that could accelerate fruitful work on specific cognitive abilities. By revealing relatively independent dimensions of human ability, such work would enhance our capacity to understand the uniqueness of individual minds.

  4. The Executive Control of Face Memory

    Directory of Open Access Journals (Sweden)

    Steven Z. Rapcsak

    2011-01-01

    Full Text Available Patients with frontal lobe damage and cognitively normal elderly individuals demonstrate increased susceptibility to false facial recognition. In this paper we review neuropsychological evidence consistent with the notion that the common functional impairment underlying face memory distortions in both subject populations is a context recollection/source monitoring deficit, coupled with excessive reliance on relatively preserved facial familiarity signals in recognition decisions. In particular, we suggest that due to the breakdown of strategic memory retrieval, monitoring, and decision operations, individuals with frontal lobe impairment caused by focal damage or age-related functional decline do not have a reliable mechanism for attributing the experience of familiarity to the correct context or source. Memory illusions are mostly apparent under conditions of uncertainty when the face cue does not directly elicit relevant identity-specific contextual information, leaving the source of familiarity unspecified or ambiguous. Based on these findings, we propose that remembering faces is a constructive process that requires dynamic interactions between temporal lobe memory systems that operate in an automatic or bottom-up fashion and frontal executive systems that provide strategic top-down control of recollection. Executive memory control functions implemented by prefrontal cortex play a critical role in suppressing false facial recognition and related source memory misattributions.

  5. The So-Called 'Face on Mars'

    Science.gov (United States)

    2002-01-01

    (Released 13 April 2002) The Science The so called 'Face on Mars' can be seen slightly above center and to the right in this THEMIS visible image. This 3-km long knob, located near 10o N, 40o W (320o E), was first imaged by the Viking spacecraft in the 1970's and was seen by some to resemble a face carved into the rocks of Mars. Since that time the Mars Orbiter Camera on the Mars Global Surveyor spacecraft has provided detailed views of this hill that clearly show that it is a normal geologic feature with slopes and ridges carved by eons of wind and downslope motion due to gravity. A similar-size hill in Phoenix, Arizona resembles a camel lying on the ground, and Phoenicians whimsically refer to it as Camelback Mountain. Like the hills and knobs of Mars, however, Camelback Mountain was carved into its unusual shape by thousands of years of erosion. The THEMIS image provides a broad perspective of the landscape in this region, showing numerous knobs and hills that have been eroded into a remarkable array of different shapes. Many of these knobs, including the 'Face', have several flat ledges partway up the hill slopes. These ledges are made of more resistant layers of rock and are the last remnants of layers that once were continuous across this entire region. Erosion has completely removed these layers in most places, leaving behind only the small isolated hills and knobs seen today. Many of the hills and ridges in this area also show unusual deposits of material that occur preferentially on the cold, north-facing slopes. It has been suggested that these deposits were 'pasted' on the slopes, with the distinct, rounded boundary on their upslope edges being the highest remaining point of this pasted-on layer. In several locations, such as in the large knob directly south of the 'Face', these deposits occur at several different heights on the hill. This observation suggests the layer once draped the entire knob and has since been removed from all but the north-facing

  6. Difficulties facing physician mothers in Japan.

    Science.gov (United States)

    Yamazaki, Yuka; Kozono, Yuki; Mori, Ryo; Marui, Eiji

    2011-01-01

    Despite recent increases in the number of female physicians graduating in Japan, their premature resignations after childbirth are contributing to the acute shortage of physicians. Previous Japanese studies have explored supportive measures in the workplace, but have rarely focused on the specific problems or concerns of physician-mothers. Therefore, this study explored the challenges facing Japanese physician-mothers in efforts to identify solutions for their retention. Open-ended questionnaires were mailed to 646 alumnae of Juntendo University School of Medicine. We asked subjects to describe their opinions about 'The challenges related to female physicians' resignations'. Comments gathered from alumnae who graduated between 6 and 30 years ago and have children were analyzed qualitatively. Overall, 249 physicians returned the questionnaire (response rate 38.5%), and 73 alumnae with children who graduated in the stated time period provided comments. The challenges facing physician-mothers mainly consisted of factors associated with Japanese society, family responsibilities, and work environment. Japanese society epitomized by traditional gender roles heightened stress related to family responsibilities and promoted gender discrimination at work environment. Additionally, changing Japanese society positively influenced working atmosphere and husband's support. Moreover, the introduction of educational curriculums that alleviated traditional gender role was proposed for pre- and post- medical students. Traditional gender roles encourage discrimination by male physicians or work-family conflicts. The problems facing female physicians involve more than just family responsibilities: diminishing the notion of gender role is key to helping retain them in the workforce.

  7. Separated Same Rectangle Feature for Face Detection

    Institute of Scientific and Technical Information of China (English)

    Yong-hee HONG; Hwan-ik CHUNG; Hern-soo HAHN

    2010-01-01

    The paper proposes a new method of "Separated Same Rectangle Feature (SSRF)" for face detection.Generally,Haar-Like feature is used to make an Adaboost training algorithm with strong classifier.Haar-like feature is composed of two or more attached same rectangles,Inefficiency of the Haar-like feature often results from two or more attached same rectangles.But the proposed SSRF are composed of two separated same rectangles.So,it is very flexible and detailed.Therefore it creates more accuate strong classifier than Haar-Like feature.SSRF uses integral image to reduce executive time.Haar-Iike feature calculates the sum of intensities of pixels on two or more rectangles.But SSRF always calculates the sum of in-tensities of pixels on only two rectangles.The weak classifier of Ada-boost algorithm based on SSRF is faster than one based an Haar-likefeature.In the experiment,we use 1 000 face images and 1 000non-face images for Adaboost training.The proposed SSRF shows about 0,9% higher accuracy than Haar-Iike features.

  8. Face and body recognition show similar improvement during childhood.

    Science.gov (United States)

    Bank, Samantha; Rhodes, Gillian; Read, Ainsley; Jeffery, Linda

    2015-09-01

    Adults are proficient in extracting identity cues from faces. This proficiency develops slowly during childhood, with performance not reaching adult levels until adolescence. Bodies are similar to faces in that they convey identity cues and rely on specialized perceptual mechanisms. However, it is currently unclear whether body recognition mirrors the slow development of face recognition during childhood. Recent evidence suggests that body recognition develops faster than face recognition. Here we measured body and face recognition in 6- and 10-year-old children and adults to determine whether these two skills show different amounts of improvement during childhood. We found no evidence that they do. Face and body recognition showed similar improvement with age, and children, like adults, were better at recognizing faces than bodies. These results suggest that the mechanisms of face and body memory mature at a similar rate or that improvement of more general cognitive and perceptual skills underlies improvement of both face and body recognition.

  9. Impaired face recognition is associated with social inhibition.

    Science.gov (United States)

    Avery, Suzanne N; VanDerKlok, Ross M; Heckers, Stephan; Blackford, Jennifer U

    2016-02-28

    Face recognition is fundamental to successful social interaction. Individuals with deficits in face recognition are likely to have social functioning impairments that may lead to heightened risk for social anxiety. A critical component of social interaction is how quickly a face is learned during initial exposure to a new individual. Here, we used a novel Repeated Faces task to assess how quickly memory for faces is established. Face recognition was measured over multiple exposures in 52 young adults ranging from low to high in social inhibition, a core dimension of social anxiety. High social inhibition was associated with a smaller slope of change in recognition memory over repeated face exposure, indicating participants with higher social inhibition showed smaller improvements in recognition memory after seeing faces multiple times. We propose that impaired face learning is an important mechanism underlying social inhibition and may contribute to, or maintain, social anxiety.

  10. Tolerance of geometric distortions in infant's face recognition.

    Science.gov (United States)

    Yamashita, Wakayo; Kanazawa, So; Yamaguchi, Masami K

    2014-02-01

    The aim of the current study is to reveal the effect of global linear transformations (shearing, horizontal stretching, and vertical stretching) on the recognition of familiar faces (e.g., a mother's face) in 6- to 7-month-old infants. In this experiment, we applied the global linear transformations to both the infants' own mother's face and to a stranger's face, and we tested infants' preference between these faces. We found that only 7-month-old infants maintained preference for their own mother's face during the presentation of vertical stretching, while the preference for the mother's face disappeared during the presentation of shearing or horizontal stretching. These findings suggest that 7-month-old infants might not recognize faces based on calculating the absolute distance between facial features, and that the vertical dimension of facial features might be more related to infants' face recognition rather than the horizontal dimension.

  11. A Real-Time Face Recognition System Using Eigenfaces

    Directory of Open Access Journals (Sweden)

    Daniel Georgescu

    2011-12-01

    Full Text Available A real-time system for recognizing faces in a video stream provided by a surveillance camera was implemented, having real-time face detection. Thus, both face detection and face recognition techniques are summary presented, without skipping the important technical aspects. The proposed approach essentially was to implement and verify the algorithm Eigenfaces for Recognition, which solves the recognition problem for two dimensional representations of faces, using the principal component analysis. The snapshots, representing input images for the proposed system, are projected in to a face space (feature space which best defines the variation for the face images training set. The face space is defined by the ‘eigenfaces’ which are the eigenvectors of the set of faces. These eigenfaces contribute in face reconstruction of a new face image projected onto face space with a meaningful (named weight.The projection of the new image in this feature space is then compared to the available projections of training set to identify the person using the Euclidian distance.  The implemented system is able to perform real-time face detection, face recognition and can give feedback giving a window with the subject's info from database and sending an e-mail notification to interested institutions.

  12. Caucasian infants scan own- and other-race faces differently.

    Science.gov (United States)

    Wheeler, Andrea; Anzures, Gizelle; Quinn, Paul C; Pascalis, Olivier; Omrin, Danielle S; Lee, Kang

    2011-04-13

    Young infants are known to prefer own-race faces to other race faces and recognize own-race faces better than other-race faces. However, it is entirely unclear as to whether infants also attend to different parts of own- and other-race faces differently, which may provide an important clue as to how and why the own-race face recognition advantage emerges so early. The present study used eye tracking methodology to investigate whether 6- to 10-month-old Caucasian infants (N = 37) have differential scanning patterns for dynamically displayed own- and other-race faces. We found that even though infants spent a similar amount of time looking at own- and other-race faces, with increased age, infants increasingly looked longer at the eyes of own-race faces and less at the mouths of own-race faces. These findings suggest experience-based tuning of the infant's face processing system to optimally process own-race faces that are different in physiognomy from other-race faces. In addition, the present results, taken together with recent own- and other-race eye tracking findings with infants and adults, provide strong support for an enculturation hypothesis that East Asians and Westerners may be socialized to scan faces differently due to each culture's conventions regarding mutual gaze during interpersonal communication.

  13. Caucasian infants scan own- and other-race faces differently.

    Directory of Open Access Journals (Sweden)

    Andrea Wheeler

    Full Text Available Young infants are known to prefer own-race faces to other race faces and recognize own-race faces better than other-race faces. However, it is entirely unclear as to whether infants also attend to different parts of own- and other-race faces differently, which may provide an important clue as to how and why the own-race face recognition advantage emerges so early. The present study used eye tracking methodology to investigate whether 6- to 10-month-old Caucasian infants (N = 37 have differential scanning patterns for dynamically displayed own- and other-race faces. We found that even though infants spent a similar amount of time looking at own- and other-race faces, with increased age, infants increasingly looked longer at the eyes of own-race faces and less at the mouths of own-race faces. These findings suggest experience-based tuning of the infant's face processing system to optimally process own-race faces that are different in physiognomy from other-race faces. In addition, the present results, taken together with recent own- and other-race eye tracking findings with infants and adults, provide strong support for an enculturation hypothesis that East Asians and Westerners may be socialized to scan faces differently due to each culture's conventions regarding mutual gaze during interpersonal communication.

  14. FPGA Based Assembling of Facial Components for Human Face Construction

    CERN Document Server

    Halder, Santanu; Nasipuri, Mita; Basu, Dipak Kumar; Kundu, Mahantapas

    2010-01-01

    This paper aims at VLSI realization for generation of a new face from textual description. The FASY (FAce SYnthesis) System is a Face Database Retrieval and new Face generation System that is under development. One of its main features is the generation of the requested face when it is not found in the existing database. The new face generation system works in three steps - searching phase, assembling phase and tuning phase. In this paper the tuning phase using hardware description language and its implementation in a Field Programmable Gate Array (FPGA) device is presented.

  15. Seminormality and local cohomology of toric face rings

    CERN Document Server

    Nguyen, Dang Hop

    2011-01-01

    We characterize toric face rings which are normal and seminormal. Extending results about local cohomology of W. Bruns, B. Ichim, P. Li and T. R\\"omer of seminormal monoid rings and Stanley toric face rings, we prove the vanishing of certain graded part of local cohomology of seminormal toric face rings. The combinatorial formula we obtain generalizes Hochster's formula. We also characterize all (necessarily seminormal) toric face rings which are $F$-pure or $F$-split over a field of characteristic $p>0$. An example is given to show that $F$-injectivity does not behave well with respect to face projections of toric face rings.

  16. Face likeability mediates the memory-enhancing effect of face attractiveness in young but not older adults.

    Science.gov (United States)

    Lin, Tian; Lendry, Reesa; Ebner, Natalie C

    2016-11-01

    Evidence of effects of face attractiveness on memory is mixed and little is known about the underlying mechanisms of this relationship. Previous work suggests a possible mediating role of affective responding to faces (i.e., face likeability) on the relationship between face attractiveness and memory. Age-related change in social motivation may reduce the relevance of face attractiveness in older adults, with downstream effects on memory. In the present study, 50 young and 51 older participants were presented with face-trait pairs. Faces varied in attractiveness. Participants then completed a face-trait associative recognition memory task and provided likeability ratings for each face. There was a memory-enhancing effect of face attractiveness in young (but not older) participants, which was partially mediated by face likeability. In addition, more attractive and less attractive (compared to moderately attractive) faces were more likely remembered by both young and older participants. This quadratic effect of face attractiveness on memory was not mediated by face likeability. Findings are discussed in the context of motivational influences on memory that vary with age.

  17. The impact of early bilingualism on face recognition processes

    Directory of Open Access Journals (Sweden)

    Sonia Kandel

    2016-07-01

    Full Text Available Early linguistic experience has an impact on the way we decode audiovisual speech in face-to-face communication. The present study examined whether differences in visual speech decoding could be linked to a broader difference in face processing. To identify a phoneme we have to do an analysis of the speaker’s face to focus on the relevant cues for speech decoding (e.g., locating the mouth with respect to the eyes. Face recognition processes were investigated through two classic effects in face recognition studies: the Other Race Effect (ORE and the Inversion Effect. Bilingual and monolingual participants did a face recognition task with Caucasian faces (own race, Chinese faces (other race and cars that were presented in an Upright or Inverted position. The results revealed that monolinguals exhibited the classic ORE. Bilinguals did not. Overall, bilinguals were slower than monolinguals. These results suggest that bilinguals’ face processing abilities differ from monolinguals’. Early exposure to more than one language may lead to a perceptual organization that goes beyond language processing and could extend to face analysis. We hypothesize that these differences could be due to the fact that bilinguals focus on different parts of the face than monolinguals, making them more efficient in other race face processing but slower. However, more studies using eye-tracking techniques are necessary to confirm this explanation.

  18. Characterization of Face-Selective Patches in Orbitofrontal Cortex.

    Science.gov (United States)

    Troiani, Vanessa; Dougherty, Chase C; Michael, Andrew M; Olson, Ingrid R

    2016-01-01

    Face processing involves a complex, multimodal brain network. While visual-perceptual face patches in posterior parts of the brain have been studied for over a decade, the existence and properties of face-selective regions in orbitofrontal cortex (OFC) is a relatively new area of research. While regions of OFC are implicated in the emotional processing of faces, this is typically interpreted as a domain-general response to affective value rather than a face- or socially-specific response. However, electrophysiology studies in monkeys have identified neurons in OFC that respond more to faces than any other stimuli. Here, we characterize the prevalence and location of OFC face-selective regions in 20 healthy college students. We did this by including another biologically motivating category (appetizing foods) in a variant of the standard face localizer. Results show that face-selective patches can be identified at the individual level. Furthermore, in both a region of interest (ROI) and a whole brain analysis, medial regions of the OFC were face-selective, while lateral regions were responsive to faces and foods, indicating a domain-general response in lateral OFC. Medial OFC (mOFC) response to faces scales in relationship to a measure of social motivation that is distinct from face processing abilities associated with fusiform cortex.

  19. The Impact of Early Bilingualism on Face Recognition Processes

    Science.gov (United States)

    Kandel, Sonia; Burfin, Sabine; Méary, David; Ruiz-Tada, Elisa; Costa, Albert; Pascalis, Olivier

    2016-01-01

    Early linguistic experience has an impact on the way we decode audiovisual speech in face-to-face communication. The present study examined whether differences in visual speech decoding could be linked to a broader difference in face processing. To identify a phoneme we have to do an analysis of the speaker’s face to focus on the relevant cues for speech decoding (e.g., locating the mouth with respect to the eyes). Face recognition processes were investigated through two classic effects in face recognition studies: the Other-Race Effect (ORE) and the Inversion Effect. Bilingual and monolingual participants did a face recognition task with Caucasian faces (own race), Chinese faces (other race), and cars that were presented in an Upright or Inverted position. The results revealed that monolinguals exhibited the classic ORE. Bilinguals did not. Overall, bilinguals were slower than monolinguals. These results suggest that bilinguals’ face processing abilities differ from monolinguals’. Early exposure to more than one language may lead to a perceptual organization that goes beyond language processing and could extend to face analysis. We hypothesize that these differences could be due to the fact that bilinguals focus on different parts of the face than monolinguals, making them more efficient in other race face processing but slower. However, more studies using eye-tracking techniques are necessary to confirm this explanation. PMID:27486422

  20. A robust, low-cost approach to Face Detection and Face Recognition

    CERN Document Server

    Jyoti, Divya; Vaidya, Pallavi; Roja, M Mani

    2011-01-01

    In the domain of Biometrics, recognition systems based on iris, fingerprint or palm print scans etc. are often considered more dependable due to extremely low variance in the properties of these entities with respect to time. However, over the last decade data processing capability of computers has increased manifold, which has made real-time video content analysis possible. This shows that the need of the hour is a robust and highly automated Face Detection and Recognition algorithm with credible accuracy rate. The proposed Face Detection and Recognition system using Discrete Wavelet Transform (DWT) accepts face frames as input from a database containing images from low cost devices such as VGA cameras, webcams or even CCTV's, where image quality is inferior. Face region is then detected using properties of L*a*b* color space and only Frontal Face is extracted such that all additional background is eliminated. Further, this extracted image is converted to grayscale and its dimensions are resized to 128 x 128...