WorldWideScience

Sample records for chernoff faces

  1. ANALISIS KINERJA DOSEN JURUSAN MATEMATIKA FMIPA UNUD DENGAN METODE CHERNOFF FACES

    OpenAIRE

    GUSTI AYU MADE ARNA PUTRI; I PUTU EKA NILA KENCANA; KOMANG GDE SUKARSA

    2012-01-01

    This research aims at analyzing work performance of lectures in Math Department Faculty of Science UNUD by using Chernoff faces method. Chernoff faces method was initiated for the first time by Herman Chernoff in1973, that is visualization technique in the form of graphic method which presents data with many variables in cartoon face model. This method showsmultivariant data in the shape of human face with position of eyes, nose, ears and mouth which shows the value of variable in different s...

  2. Chernoff information of exponential families

    CERN Document Server

    Nielsen, Frank

    2011-01-01

    Chernoff information upper bounds the probability of error of the optimal Bayesian decision rule for $2$-class classification problems. However, it turns out that in practice the Chernoff bound is hard to calculate or even approximate. In statistics, many usual distributions, such as Gaussians, Poissons or frequency histograms called multinomials, can be handled in the unified framework of exponential families. In this note, we prove that the Chernoff information for members of the same exponential family can be either derived analytically in closed form, or efficiently approximated using a simple geodesic bisection optimization technique based on an exact geometric characterization of the "Chernoff point" on the underlying statistical manifold.

  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. Strengthened Chernoff-type variance bounds

    OpenAIRE

    Afendras, G.; Papadatos, N.

    2014-01-01

    Let $X$ be an absolutely continuous random variable from the integrated Pearson family and assume that $X$ has finite moments of any order. Using some properties of the associated orthonormal polynomial system, we provide a class of strengthened Chernoff-type variance bounds.

  5. 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.

  6. Quantum Chernoff bound as a measure of efficiency of quantum cloning for mixed states

    OpenAIRE

    Ghiu, Iulia

    2014-01-01

    In this paper we investigate the efficiency of quantum cloning of $N$ identical mixed qubits. We employ a recently introduced measure of distinguishability of quantum states called quantum Chernoff bound. We evaluate the quantum Chernoff bound between the output clones generated by the cloning machine and the initial mixed qubit state. Our analysis is illustrated by performing numerical calculation of the quantum Chernoff bound for different scenarios that involves the number of initial qubit...

  7. Chernoff Index for Cox Test of Separate Parametric Families

    OpenAIRE

    Li, Xiaoou; Liu, Jingchen; YING, ZHILIANG

    2016-01-01

    The asymptotic efficiency of a generalized likelihood ratio test proposed by Cox is studied under the large deviations framework for error probabilities developed by Chernoff. In particular, two separate parametric families of hypotheses are considered [Cox, 1961, 1962]. The significance level is set such that the maximal type I and type II error probabilities for the generalized likelihood ratio test decay exponentially fast with the same rate. We derive the analytic form of such a rate that...

  8. Quantum Chernoff bound as a measure of the efficiency of quantum cloning for mixed states

    International Nuclear Information System (INIS)

    In this paper we investigate the efficiency of quantum cloning of N identical mixed qubits. We employ a recently introduced measure of distinguishability of quantum states called the quantum Chernoff bound. We evaluate the quantum Chernoff bound between the output clones generated by the cloning machine and the initial mixed qubit state. Our analysis is illustrated by performing numerical calculation of the quantum Chernoff bound for different scenarios that involves the number of initial qubits N and the number of output imperfect copies M. (paper)

  9. The Chernoff Modification of the Fisher Exact Test for the Difference of Two Binomial Probabilities

    OpenAIRE

    Takahashi, Hajime; Uematsu, Kazuki

    2006-01-01

    To test the difference of two binomial probabilities, we will apply the Fisher exact test modified by Chernoff (2002), which will be called CMF test. The key idea is to use the P-value of Fisher exact test as a test statistic and this makes it possible to apply the Fisher exact test for more general problems. The numerical comparison with the likelihood ratio test and the Bayes test are also conducted and we find that the performance of CMF test is close to that of the likelihood ratio test a...

  10. Chernoff Bound Based Approximate Frequent Itemset Mining Method over Streams%一种基于Chernoff Bound的数据流上近似频繁项集的挖掘方法

    Institute of Scientific and Technical Information of China (English)

    李海峰; 章宁

    2011-01-01

    数据流高速、无限和动态的特点决定了必须在有限的内存中以尽快的计算速度完成流数据上的频繁项集挖掘.将数据流中的数据按照段进行划分,采用二元组列表的数据结构进行保存,提出了一种基于滑动窗口的近似频繁项集挖掘方法AFIoDS,以实时获取频繁项集集合的真子集,并引入了概率参数,利用Chernoff Bound来动态改变支持度的近似值,保证真子集中的频繁项集被限制在一定的误差范围之内.此外,为了进一步节省内存,AFIoDS采用闭合项集的形式压缩每个段中获取的频繁项集.通过在3种真实数据集上的实验表明,AFIoDS算法与现有算法相比,在精度没有下降的情况下,具有更快的处理速度,同时其存储开销大大降低.%A data stream is fast, unlimited and dynamic, these characteristics constraint the computational resources and storages when mining frequent itemsets. This paper addressed this problem and proposed a simple and effective algorithrn AFIoDS, AFIoDS is an approximate algorithm based on sliding window model,which splits stream data into batches and maintains them with 2-tuple lists;thus,a false negative result can be obtained using a probabilistic parameter based on chernoff bound. The approximation will be changed dynamically to guarantee the mining frequent itemsets are error controllable. Plus, a compression of frequent itemsets, the closed frequent itemsets, are employed to represent the results of each batch for further memory saving. Our experimental results on 3 real world data show that without precision reduction, AFIoDS achieves a faster speed and a much reduced memory cost in comparison with the state-of-the-art algorithrna.

  11. Face to Face

    DEFF Research Database (Denmark)

    Jungfalk, Michael; Rossen, Svend

    2008-01-01

    Blended learning in education is the combination of face‐to‐face seminars and on‐line work based on the internet. We have investigated which factors that we found were important in designing and conducting face‐to‐face seminars in order to facilitate learning processes in the periods of on...

  12. Face To Face

    OpenAIRE

    Laursen, Lea Holst; Eilertzen, Freja Nissen; Repsdorph, Helene Reck; Gerelsaikhan, Gerelmaa; Otkjær, Mia Jo; Søndergaard, Ditte Klerens

    2008-01-01

    The face-to-face (F2F) strategy is a method which entails groups of so-called ‘facers’ standing in a public space trying to recruit people to the organisation and informing about the organisation’s work. In combination with the possibility of reaching large numbers of people, this technique provides a steady and ongoing flow of money, something which is vital for the NGO’s when planning future activities. In spite of ethical regulations the use of facers is a very controversial strat...

  13. Face To Face

    OpenAIRE

    Robert Leckey

    2014-01-01

    This paper uses Queer theory, specifically literature on Bowers v. Hardwick, to analyze debates over legislation proposed in Quebec regarding covered faces. Queer theory sheds light on legal responses to the veil. Parliamentary debates in Quebec reconstitute the polity, notably as secular and united. The paper highlights the contradictory and unstable character of four binaries: legislative text versus social practice, act versus status, majority versus minority, and knowable versus unknowabl...

  14. Face to Face

    Institute of Scientific and Technical Information of China (English)

    子非

    2004-01-01

    <正> 子非 1.“We know that we’ve alreadybeaten Chelsea and that we can doit again if we perform at our bestds We‘ve shown that before.They havealways been hard games againstChelsea but maybe we’ve had theDsyChlongical advantage.All runseventually have to come to an end!We will treat it as a normal game,1ike the semi-finals of the FA Cup.The good thing is that there willbe an Engllsh team 1n the semi-finals.But the negative thing isthat 1t takes a bit of the charmaway from a European CUP tie.Youexpect to Play a team from anothercountry.No matter which team doesit,they are worthy winners.Butat the moment,we have a big taskin the Quarter-finals and it’S notsure that the winners will faceReal Madrid."

  15. Losing Face

    OpenAIRE

    Hugh-Jones, David; Reinstein, David

    2010-01-01

    When person A makes an offer to person B and B rejects it, then A may “lose face.” This loss of face is assumed to occur only if B knows for sure of A’s offer. While under some circumstances loss of face can be rationalized by the consequences for future reputation, it may also enter directly into the utility function. Loss of face concerns can lead to fewer offers and inefficiency in markets that involve matching, discrete transactions, and offers/proposals in both directions, su...

  16. Face-to-face coalition

    OpenAIRE

    Andrews, Timothy J.; Thompson, Peter

    2010-01-01

    The perception and recognition of familiar faces are thought to depend critically on an analysis of the internal features of the face. However, other studies have shown that combining highly familiar internal features with an inappropriate set of familiar external features produces a composite face whose identity is dominated by the external features. Here, we show that this illusion depends on the distinctiveness of the external features.

  17. Facing Fibromyalgia

    Science.gov (United States)

    ... it was, and then I just had a flood of emotions. Because of my history, I was ... Fibromyalgia: medlineplus.gov/fibromyalgia.html Read More "Fibromyalgia" Articles Fibromyalgia: A Puzzling and Painful Condition / Facing Fibromyalgia ...

  18. 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...

  19. Reading faces and Facing words

    DEFF Research Database (Denmark)

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

    unilateral lesions, we found no patient with a selective deficit in either reading or face processing. Rather, the patients showing a deficit in processing either words or faces were also impaired with the other category. One patient performed within the normal range on all tasks. In addition, all patients...... 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...

  20. Face Processing & Frontal Face Verification

    OpenAIRE

    Sanderson, Conrad

    2003-01-01

    In this report we first review important publications in the field of face recognition; geometric features, templates, Principal Component Analysis (PCA), pseudo-2D Hidden Markov Models, Elastic Graph Matching, as well as other points are covered; important issues, such as the effects of an illumination direction change and the use of different face areas, are also covered. A new feature set (termed DCT-mod2) is then proposed; the feature set utilizes polynomial coefficients derived from 2D D...

  1. Face diarization

    OpenAIRE

    Salinas Ventalló, Xènia

    2015-01-01

    [ANGLÈS] The Face Diarization project is a comparative analysis between two methods already developed. This project aims to determine if, using this procedure, the video sequence scenes limits can be determined. For face detection a 69.78% recall and a 65.78% precision are achieved. Using the LBPH classification system a 74.34% of detections are correctly classified; while, using the system algorithm that also considers the cloth, a 62.57% are classified. For the scenes separation system, usi...

  2. Face pain

    Science.gov (United States)

    ... begin in other places in the body. Abscessed tooth (ongoing throbbing pain on one side of the lower face that ... chap 18. Digre KB. Headaches and other head pain. In: Goldman L, Schafer AI, eds. Goldman's Cecil Medicine . 25th ed. Philadelphia, PA: Elsevier Saunders; 2016:chap ...

  3. 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 Stranger Visions involves extracting DNA from discarded items she finds in public spaces in New York City, such as cigarette butts and chewing gum. She has the DNA that is extracted from these items analysed for specific genomic sequences associated with physical traits such as hair and eye colour...

  4. Face Recognition

    OpenAIRE

    Haugen, Liv Merete; Olavsbråten, Inge

    2007-01-01

    Machine based face recognition has been a popular research area for several years, and has numerous applications. This technology has now reached a point where there already exists good algorithms for recognition for standardized still images - which have little variation in e.g. lighting, facial expression and pose. We are however in lack of good algorithms that are able to do recognition from live video. The low quality of most surveillance cameras, together with non-standardized imaging c...

  5. Face Value

    OpenAIRE

    Catherine C. Eckel; Ragan Petrie

    2011-01-01

    There is growing evidence of systematic heterogeneity in behavior by observable characteristics, such as what one would see in a face. We ask, is there informational value in knowing these characteristics in a strategic interaction? Subjects are given the opportunity to purchase a photograph of their partner in the play of a trust game. Not everyone purchases the photo, even at prices as low as $0.20. Senders (first movers in the game) have a more inelastic demand for pictures than responders...

  6. Face Off

    OpenAIRE

    Busby, Lisa

    2010-01-01

    Face off explored and expanded the perceptions of where the DJ could be found by collaborating with the artist David Dixon to create an equipment set up and performance which was a sonic and structural intervention of his work Entangled Practice. This work is part of the Shit! I can DJ project which explores the fringes of what might be considered DJ practice, and seeks to explore and promote experimental DJ practices across fields.

  7. Company Face

    Institute of Scientific and Technical Information of China (English)

    李天田

    2011-01-01

    有些演员长得不好看但上镜,这叫有Camera Face;而有些企业有明星企业家,这叫有Company Face.塑造一张Company Face对企业来说是非常合算的,因为公众对于枯燥的商业概念和数据并无兴趣,把企业人格化才是建立沟通的捷径.然而,究竟你的CompanyFace是杂志封面的人物还是客户走进公司会接触的保安、保洁和秘书?听说一个绿色八卦:张艺谋在《山楂树之恋》选角时,为了“静秋”可谓是踏破铁鞋.当时分了若干组人马四处寻访,但是带回来的候选人张艺谋统统看不上.张艺谋讽刺一位选角的同事:你选出来的女孩儿,一打开电视满眼都是!这位同事立即反唇相讥:你选的呢?连电视都不让上!

  8. 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.

  9. 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.

  10. WIDER FACE: A Face Detection Benchmark

    OpenAIRE

    Yang, Shuo; Luo, Ping; Loy, Chen Change; Tang, Xiaoou

    2015-01-01

    Face detection is one of the most studied topics in the computer vision community. Much of the progresses have been made by the availability of face detection benchmark datasets. We show that there is a gap between current face detection performance and the real world requirements. To facilitate future face detection research, we introduce the WIDER FACE dataset, which is 10 times larger than existing datasets. The dataset contains rich annotations, including occlusions, poses, event categori...

  11. Eros-Face

    OpenAIRE

    Jammal, Elias

    2011-01-01

    In diesem Papier werden Face-Konzepte im arabischen Kontext vorgestellt, die mit der Bezeichnung Eros-Face belegt werden. Dieses wurde bislang in der Face-Literatur nicht berücksichtigt. Es werden zwei Typen des Eros-Face diskutiert: Das individuelle und das kollektivistische Eros-Face. This paper introduces face concepts in the Arab context for which the notion Eros face has been given. Literature on face did not consider the Eros face so far. Two types of Eros face are discussed: The ind...

  12. Effect of Face Tampering on Face Recognition

    OpenAIRE

    Aruni Singh; Sanjay Kumar Singh

    2013-01-01

    Modern face recognition systems are vulnerable to spoofing attack. Spoofing attack occurs when a persontries to cheat the system by presenting fake biometric data gaining unlawful access. A lot of researchershave originated novel techniques to fascinate these types of face tampering attack. It seems that nocomparative studies of different face recognition algorithms on same protocols and fake data have beenincorporated. The motivation behind this paper is to present the effect of face tamperi...

  13. The Composite Face Illusion

    OpenAIRE

    Murphy, J.; Gray, K.; Cook, R

    2016-01-01

    Few findings in cognitive science have proved as influential as the composite face effect. When the top half of one face is aligned with the bottom half of another, and presented upright, the resulting composite arrangement induces a compelling percept of a novel facial configuration. Findings obtained using composite face procedures have contributed significantly to our understanding of holistic face processing, the detrimental effects of face inversion, the development of face perception, a...

  14. Familiar face + novel face = familiar face? Representational bias in the perception of morphed faces in chimpanzees.

    Science.gov (United States)

    Matsuda, Yoshi-Taka; Myowa-Yamakoshi, Masako; Hirata, Satoshi

    2016-01-01

    Highly social animals possess a well-developed ability to distinguish the faces of familiar from novel conspecifics to induce distinct behaviors for maintaining society. However, the behaviors of animals when they encounter ambiguous faces of familiar yet novel conspecifics, e.g., strangers with faces resembling known individuals, have not been well characterised. Using a morphing technique and preferential-looking paradigm, we address this question via the chimpanzee's facial-recognition abilities. We presented eight subjects with three types of stimuli: (1) familiar faces, (2) novel faces and (3) intermediate morphed faces that were 50% familiar and 50% novel faces of conspecifics. We found that chimpanzees spent more time looking at novel faces and scanned novel faces more extensively than familiar or intermediate faces. Interestingly, chimpanzees looked at intermediate faces in a manner similar to familiar faces with regards to the fixation duration, fixation count, and saccade length for facial scanning, even though the participant was encountering the intermediate faces for the first time. We excluded the possibility that subjects merely detected and avoided traces of morphing in the intermediate faces. These findings suggest a bias for a feeling-of-familiarity that chimpanzees perceive familiarity with an intermediate face by detecting traces of a known individual, as 50% alternation is sufficient to perceive familiarity. PMID:27602275

  15. Face powder poisoning

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/article/002700.htm Face powder poisoning To use the sharing features on this page, please enable JavaScript. Face powder poisoning occurs when someone swallows or breathes ...

  16. Series Facing Radiation. 2 Facing radiation is facing residents

    International Nuclear Information System (INIS)

    The series is to report how general people, who are not at all radiological experts, have faced and understood the problems and tasks of radiation given by the Fukushima Daiichi Nuclear Power Plant Accident (Mar. 2011). The section 2 is reported by an officer of Date City, which localizes at 60 km northern west of the Plant, borders on Iitate Village of Fukushima prefecture, and is indicated as the important area of contamination search (IACS), which the reporter has been conducted for as responsible personnel. In July 2011, the ambient dose was as high as 3.0-3.5 mc-Sv/h and the tentative storage place of contaminated materials was decided by own initiative of residents of a small community, from which the real decontamination started in the City. The target dose after decontamination was defined to be 1.0 mc-Sv/h: however, 28/32 IACS municipalities in the prefecture had not defined the target although they had worked for 2 years after the Accident for their areas exceeding the standard 0.23 mc-Sv/h. At the moment of decontamination of the reporter's own house, he noticed that resident's concerns had directed toward its work itself, not toward the target dose, and wondered if these figures had obstructed to correctly face the radiation. At present that about 2.5 years have passed since the Accident, all of Date citizens have personal accumulated glass dosimeters for seeing the effective external dose and it seems that their dose will not exceed 1 mSv/y if the ambient dose estimated is 0.3-5 mc-Sv/h. Media run to popularity not to face radiation, experts tend to hesitate to face media and residents, and radiation dose will be hardly reduced to zero, despite that correct understanding of radiation is a shorter way for residents' own ease: facing radiation is facing residents. (T.T.)

  17. Lightweight Face Relighting

    OpenAIRE

    Paris, Sylvain; Sillion, François X.; Quan, Long

    2003-01-01

    International audience In this paper we present a method to relight human faces in real time, using consumer-grade graphics cards even with limited 3D capabilities. We show how to render faces using a combination of a simple, hardware-accelerated parametric model simulating skin shading and a detail texture map, and provide robust procedures to estimate all the necessary parameters for a given face. Our model strikes a balance between the difficulty of realistic face rendering (given the v...

  18. Learning Deep Face Representation

    OpenAIRE

    Fan, Haoqiang; Cao, Zhimin; Jiang, Yuning; Yin, Qi; Doudou, Chinchilla

    2014-01-01

    Face representation is a crucial step of face recognition systems. An optimal face representation should be discriminative, robust, compact, and very easy-to-implement. While numerous hand-crafted and learning-based representations have been proposed, considerable room for improvement is still present. In this paper, we present a very easy-to-implement deep learning framework for face representation. Our method bases on a new structure of deep network (called Pyramid CNN). The proposed Pyrami...

  19. Stable face representations

    OpenAIRE

    Jenkins, Rob; Burton, A. Mike

    2011-01-01

    Photographs are often used to establish the identity of an individual or to verify that they are who they claim to be. Yet, recent research shows that it is surprisingly difficult to match a photo to a face. Neither humans nor machines can perform this task reliably. Although human perceivers are good at matching familiar faces, performance with unfamiliar faces is strikingly poor. The situation is no better for automatic face recognition systems. In practical settings, automatic systems have...

  20. Generic Face Animation

    OpenAIRE

    Cerda, Mauricio; Valenzuela, Renato; Hitschfeld-Kahler, Nancy; Terissi, Lucas; Gomez, Juan C.

    2010-01-01

    International audience In computer vision, the animation of objects has attracted a lot attention, specially the animations of 3D face models. The animation of face models requires in general to manually adapt each generic movement (open/close mouth) to each specific head geometry. In this work we propose a technique for the animation of any face model avoiding most of the manual intervention. In order to achieve this we assume that: (1) faces, despite obvious differences are quite similar...

  1. GPU accelerated face detection

    OpenAIRE

    Mäkelä, J.

    2013-01-01

    Graphics processing units have massive parallel processing capabilities, and there is a growing interest in utilizing them for generic computing. One area of interest is computationally heavy computer vision algorithms, such as face detection and recognition. Face detection is used in a variety of applications, for example the autofocus on cameras, face and emotion recognition, and access control. In this thesis, the face detection algorithm was accelerated with GPU using OpenCL. The goal was...

  2. About (above) a face - a face

    OpenAIRE

    Diego Cervelin

    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.

  3. Multiview Face Detection

    OpenAIRE

    Sauquet, Tiffany; Rodriguez, Yann; Marcel, Sébastien

    2005-01-01

    In this document, we address the problem of multiview face detection. This work extends the frontal face detection system developed at the IDIAP Research Institute to multiview face detection. The main state-of-the art techniques are reviewed and a novel architecture is presented, based on a pyramid of detectors that are trained for different views of faces. The proposed approach robustly detects faces rotated up to -67.5 degree in the image plane and up to -90 degree out of the image plane. ...

  4. Face Animation with Kinect Face Tracking

    OpenAIRE

    Forns Gutierrez, Oriol

    2015-01-01

    El projecte consisteix en obtenir les dades d'un Kinect, tractar-les amb el SDK Kinect FaceTracking per obtenir les expressions facials i la inclinació del cap d'una persona que aparegui a la imatge, per finalment animar un avatar 3D amb aquestes dades This project involves obtaining data from a Kinect, treat them with FaceTracking Kinect SDK to obtain facial expressions and head tilt of a person who appears in the picture, finally animate a 3D avatar with these data.

  5. Face-Guarding Polyhedra

    OpenAIRE

    Viglietta, Giovanni

    2013-01-01

    We study the Art Gallery Problem for face guards in polyhedral environments. The problem can be informally stated as: how many (not necessarily convex) windows should we place on the external walls of a dark building, in order to completely illuminate its interior? We consider both closed and open face guards (i.e., faces with or without their boundary), and we study several classes of polyhedra, including orthogonal polyhedra, 4-oriented polyhedra, and 2-reflex orthostacks. We give upper and...

  6. 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

  7. Learning discriminant face descriptor.

    Science.gov (United States)

    Lei, Zhen; Pietikäinen, Matti; Li, Stan Z

    2014-02-01

    Local feature descriptor is an important module for face recognition and those like Gabor and local binary patterns (LBP) have proven effective face descriptors. Traditionally, the form of such local descriptors is predefined in a handcrafted way. In this paper, we propose a method to learn a discriminant face descriptor (DFD) in a data-driven way. The idea is to learn the most discriminant local features that minimize the difference of the features between images of the same person and maximize that between images from different people. In particular, we propose to enhance the discriminative ability of face representation in three aspects. First, the discriminant image filters are learned. Second, the optimal neighborhood sampling strategy is soft determined. Third, the dominant patterns are statistically constructed. Discriminative learning is incorporated to extract effective and robust features. We further apply the proposed method to the heterogeneous (cross-modality) face recognition problem and learn DFD in a coupled way (coupled DFD or C-DFD) to reduce the gap between features of heterogeneous face images to improve the performance of this challenging problem. Extensive experiments on FERET, CAS-PEAL-R1, LFW, and HFB face databases validate the effectiveness of the proposed DFD learning on both homogeneous and heterogeneous face recognition problems. The DFD improves POEM and LQP by about 4.5 percent on LFW database and the C-DFD enhances the heterogeneous face recognition performance of LBP by over 25 percent. PMID:24356350

  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 audience...

  9. Face Time: Educating Face Transplant Candidates

    OpenAIRE

    Lamparello, Brooke M.; Bueno, Ericka M.; Diaz-Siso, Jesus Rodrigo; Sisk, Geoffroy C.; Pomahac, Bohdan

    2013-01-01

    Objective: Face transplantation is the innovative application of microsurgery and immunology to restore appearance and function to those with severe facial disfigurements. Our group aims to establish a multidisciplinary education program that can facilitate informed consent and build a strong knowledge base in patients to enhance adherence to medication regimes, recovery, and quality of life. Methods: We analyzed handbooks from our institution's solid organ transplant programs to identify top...

  10. Development of Recognition of Face Parts from Unfamiliar Faces

    OpenAIRE

    Liu, Shaoying; Anzures, Gizelle; Ge, Liezhong; Quinn, Paul C.; Pascalis, Olivier; Slater, Alan M.; Tanaka, James W.; Lee, Kang

    2012-01-01

    The present study examined developmental changes in the ability to recognize face parts. In Experiment 1, participants were familiarized with whole faces and given a recognition test with old and new eyes, noses, mouths, inner faces, outer faces, or whole faces. Adults were above chance in their recognition of the eye and mouth regions. However, children did not naturally encode and recognize face parts independently of the entire face. In addition, all age groups showed comparable inner and ...

  11. Face the voice

    DEFF Research Database (Denmark)

    Lønstrup, Ansa

    2014-01-01

    In this article I will make some analytical sketches – describe, comment on and contextualize my experience with four examples of his works of art recently presented in a large Tony Oursler exhibition Face to Face (March-July 2012) at Aarhus Art Museum ARoS in Denmark . The analytical description......Belle, Neumark). Finally, the article will discuss the specific artistic combination and our auditory experience of mediated human voices and sculpturally projected faces in an art museum context under the general conditions of the societal panophonia of disembodied and mediated voices, as promoted by Steven...

  12. 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

  13. Protective Face Mask

    Science.gov (United States)

    1981-01-01

    Mask to protect the physically impaired from injuries to the face and head has been developed by Langley Research Center. It is made of composite materials, usually graphite or boron fibers woven into a matrix. Weighs less than three ounces.

  14. Face Detection using Ferns

    OpenAIRE

    Marcel, Sébastien; Subburaman, Venkatesh Bala

    2011-01-01

    This paper discusses the use of ferns (a set of binary features) for face detection. The binary feature used here is the sign of pixel intensity difference. Ferns were first introduced for keypoint recognition and showed good performance, and improving the speed of recognition. Keypoint recognition deals with classification of few hundred different classes, while face detection is a two-class problem with an unbalanced data. For keypoint recognition random pixel pairs proved to be good enoug...

  15. A new face

    OpenAIRE

    Vasilic, D

    2012-01-01

    The ethical barriers seem to pose the greatest challenge to performing facial transplantation with proponents and critics fiercely debating their positions. Chapter 1 outlines the main ethical issues and events that have preluded clinical facial transplantation. In particular, human hand transplantation programs and their impact on face transplantation have been reviewed. Although the first face transplants already have been performed, the social and psychological debates concerning the ethic...

  16. to face the music

    Institute of Scientific and Technical Information of China (English)

    宗华

    2002-01-01

    When someone says,“Well,i guess i'll have to go face the music”it does not mean he is planning to go to a concert .it is something far less pleasant,like being called in by your boss to explain why you did this and did that,and why you did not do to this or that sour music indeed,but it has to be faced.

  17. In your face!

    OpenAIRE

    Katzeff, Ask

    2010-01-01

    Throughout time the face of power has constituted a favourite target of demon¬strations of dissent and social revolt. The face of the King, the Emperor, the President, the Sultan as objects of scorn and ridicule. This article investigates this particular form of physiognomic humiliation as an activist strategy, as a modifica¬tion of the image of power that attempts to establish a rupture in the prevailing social order and thus open up a new field of political potential.

  18. Recognizing one's own face.

    Science.gov (United States)

    Kircher, T T; Senior, C; Phillips, M L; Rabe-Hesketh, S; Benson, P J; Bullmore, E T; Brammer, M; Simmons, A; Bartels, M; David, A S

    2001-01-01

    We report two studies of facial self-perception using individually tailored, standardized facial photographs of a group of volunteers and their partners. A computerized morphing procedure was used to merge each target face with an unknown control face. In the first set of experiments, a discrimination task revealed a delayed response time for the more extensively morphed self-face stimuli. In a second set of experiments, functional magnetic resonance imaging (fMRI) was used to measure brain activation while subjects viewed morphed versions of either their own or their partner's face, alternating in blocks with presentation of an unknown face. When subjects viewed themselves (minus activation for viewing an unknown face), increased blood oxygenation was detected in right limbic (hippocampal formation, insula, anterior cingulate), left prefrontal cortex and superior temporal cortex. In the partner (versus unknown) experiment, only the right insula was activated. We suggest that a neural network involving the right hemisphere in conjunction with left-sided associative and executive regions underlies the process of visual self-recognition. Together, this combination produces the unique experience of self-awareness. PMID:11062324

  19. 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.

  20. Buzz: face-to-face contact and the urban economy

    OpenAIRE

    Storper, Michael; Venables, Anthony J.

    2003-01-01

    This paper argues that existing models of urban concentrations are incomplete unless grounded in the most fundamental aspect of proximity; face-to-face contact. Face-to-face contact has four main features; it is an efficient communication technology; it can help solve incentive problems; it can facilitate socialization and learning; and it provides psychological motivation. We discuss each of these features in turn, and develop formal economic models of two of them. Face-to-face is particular...

  1. face the music

    Institute of Scientific and Technical Information of China (English)

    周立

    2003-01-01

    [英语对话] A:How do you comment on those people who dare to do wrong things but not courageous enough to face the music? B:It’s human nature that nobody likes punishment.When people go into something,they may either see an angle in it or not know the conse- quence.They chance the ducks. But when they realize they have to take the consequences,nine out of ten will try to escape punishment. A:But there are people who are daring:daring to do,and daring to face the music. B:There must be a reward in daring to face the music.I mean,there must

  2. Voicing on Virtual and Face to Face Discussion

    Science.gov (United States)

    Yamat, Hamidah

    2013-01-01

    This paper presents and discusses findings of a study conducted on pre-service teachers' experiences in virtual and face to face discussions. Technology has brought learning nowadays beyond the classroom context or time zone. The learning context and process no longer rely solely on face to face communications in the presence of a teacher.…

  3. 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....... 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....

  4. Pose estimation and frontal face detection for face recognition

    Science.gov (United States)

    Lim, Eng Thiam; Wang, Jiangang; Xie, Wei; Ronda, Venkarteswarlu

    2005-05-01

    This paper proposes a pose estimation and frontal face detection algorithm for face recognition. Considering it's application in a real-world environment, the algorithm has to be robust yet computationally efficient. The main contribution of this paper is the efficient face localization, scale and pose estimation using color models. Simulation results showed very low computational load when compare to other face detection algorithm. The second contribution is the introduction of low dimensional statistical face geometrical model. Compared to other statistical face model the proposed method models the face geometry efficiently. The algorithm is demonstrated on a real-time system. The simulation results indicate that the proposed algorithm is computationally efficient.

  5. 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.

  6. 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

  7. Wavelets and Face Recognition

    OpenAIRE

    Dai, Dao-Qing; Yan, Hong

    2007-01-01

    Wavelets have been successfully used in image processing. Their ability to capture localized spatial-frequency information of image motivates their use for feature extraction. We give an overview of using wavelets in the face recognition technology. Due to limit of space the use of Gabor wavelets is not covered in this survey. Interested readers are referred to section 8.3 for references.

  8. Faced with a dilemma

    DEFF Research Database (Denmark)

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

    2013-01-01

    supported women'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...

  9. Face the Music

    Institute of Scientific and Technical Information of China (English)

    张文新

    2005-01-01

    When someone says, “Well, Iguess I'll have to go and face the music, ”it does not mean he is planning to go to a concert. It is something far less pleasant, like being called in by your boss to explain why you did this and did that,

  10. 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.

  11. Lightweight Face Mask

    Science.gov (United States)

    Cason, W. E. I.; Baucom, R. M.; Evans, R. C.

    1982-01-01

    Lightweight face mask originally developed to protect epileptic patients during seizures could have many other medical and nonmedical applications such as muscular distrophy patients, football linesmen and riot-control police. Masks are extremely lightweight, the lightest of the configurations weighing only 136 grams.

  12. Neural synchronization during face-to-face communication

    OpenAIRE

    Jiang, J; Dai, B; Peng, D.; C. Zhu; L. Liu; Lu, C

    2012-01-01

    Although the human brain may have evolutionarily adapted to face-to-face communication, other modes of communication, e.g., telephone and e-mail, increasingly dominate our modern daily life. This study examined the neural difference between face-to-face communication and other types of communication by simultaneously measuring two brains using a hyperscanning approach. The results showed a significant increase in the neural synchronization in the left inferior frontal cortex during a face-to-...

  13. The Caledonian face test: A new test of face discrimination.

    Science.gov (United States)

    Logan, Andrew J; Wilkinson, Frances; Wilson, Hugh R; Gordon, Gael E; Loffler, Gunter

    2016-02-01

    This study aimed to develop a clinical test of face perception which is applicable to a wide range of patients and can capture normal variability. The Caledonian face test utilises synthetic faces which combine simplicity with sufficient realism to permit individual identification. Face discrimination thresholds (i.e. minimum difference between faces required for accurate discrimination) were determined in an "odd-one-out" task. The difference between faces was controlled by an adaptive QUEST procedure. A broad range of face discrimination sensitivity was determined from a group (N=52) of young adults (mean 5.75%; SD 1.18; range 3.33-8.84%). The test is fast (3-4min), repeatable (test-re-test r(2)=0.795) and demonstrates a significant inversion effect. The potential to identify impairments of face discrimination was evaluated by testing LM who reported a lifelong difficulty with face perception. While LM's impairment for two established face tests was close to the criterion for significance (Z-scores of -2.20 and -2.27) for the Caledonian face test, her Z-score was -7.26, implying a more than threefold higher sensitivity. The new face test provides a quantifiable and repeatable assessment of face discrimination ability. The enhanced sensitivity suggests that the Caledonian face test may be capable of detecting more subtle impairments of face perception than available tests. PMID:26607479

  14. Finding Faces Among Faces: Human Faces are Located More Quickly and Accurately than Other Primate and Mammal Faces

    OpenAIRE

    Simpson, Elizabeth A.; Buchin, Zachary; Werner, Katie; Worrell, Rey; Jakobsen, Krisztina V.

    2014-01-01

    We tested the specificity of human face search efficiency by examining whether there is a broad window of detection for various face-like stimuli—human and animal faces—or whether own-species faces receive greater attentional allocation. We assessed the strength of the own-species face detection bias by testing whether human faces are located more efficiently than other animal faces, when presented among various other species’ faces, in heterogeneous 16-, 36-, and 64-item arrays. Across all a...

  15. Facing the Crises

    OpenAIRE

    Moira Baker

    2014-01-01

    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 indigenou...

  16. Deciphering the Face

    OpenAIRE

    Martinez, Aleix M

    2011-01-01

    We argue that to make robust computer vision algorithms for face analysis and recognition, these should be based on configural and shape features. In this model, the most important task to be solved by computer vision researchers is that of accurate detection of facial features, rather than recognition. We base our arguments on recent results in cognitive science and neuroscience. In particular, we show that different facial expressions of emotion have diverse uses in human behavior/cognition...

  17. IntraFace

    OpenAIRE

    de la Torre, Fernando; Chu, Wen-Sheng; Xiong, Xuehan; Vicente, Francisco; Ding, Xiaoyu; Cohn, Jeffrey

    2015-01-01

    Within the last 20 years, there has been an increasing interest in the computer vision community in automated facial image analysis algorithms. This has been driven by applications in animation, market research, autonomous-driving, surveillance, and facial editing among others. To date, there exist several commercial packages for specific facial image analysis tasks such as facial expression recognition, facial attribute analysis or face tracking. However, free and easy-to-use software that i...

  18. Infrared face recognition

    OpenAIRE

    Lee, Colin K.

    2004-01-01

    Approved for public release, distribution is unlimited This study continues a previous face recognition investigation using uncooled infrared technology. The database developed in an earlier study is further expanded to include 50 volunteers with 30 facial images from each subject. The automatic image reduction method reduces the pixel size of each image from 160 120 to 60 45 . The study reexamines two linear classification methods: the Principal Component Analysis (PCA) and Fisher ...

  19. MMI Face Database

    OpenAIRE

    Maat, L.M.; Sondak, R.C.; Valstar, M.F.; Pantic, M.; Gaia, P.

    2005-01-01

    The automatic recognition of human facial expressions is an interesting research area in AI with a growing number of projects and researchers. In spite of repeated references to the need for a reference set of images that could provide a basis for benchmarking various techniques in automatic facial expression analysis, a readily accessible and complete enough database of face images does not exist yet. This lack represented our main incentive to develop a web-based, easily accessible, and eas...

  20. Robust Statistical Face Frontalization

    OpenAIRE

    Sagonas, Christos; Panagakis, Yannis; Zafeiriou, Stefanos; Pantic, Maja

    2015-01-01

    Recently, it has been shown that excellent results can be achieved in both facial landmark localization and pose-invariant face recognition. These breakthroughs are attributed to the efforts of the community to manually annotate facial images in many different poses and to collect 3D facial data. In this paper, we propose a novel method for joint frontal view reconstruction and landmark localization using a small set of frontal images only. By observing that the frontal facial image is the on...

  1. The Asian Face Lift

    OpenAIRE

    Bergeron, Léonard; Chen, Yu-Ray

    2009-01-01

    The face-lift procedure (rhytidectomy) is increasingly popular in Asia. There is extensive literature on different techniques in Western patients. Cultural and anthropomorphologic differences between Asian and Caucasians require the adaptation of current techniques to obtain a satisfactory outcome for both the patient and the surgeon. This article therefore attempts to define important differences between Asians and Caucasians in terms of signs of facial aging, perception of beauty, and surgi...

  2. Foil Face Seal Testing

    Science.gov (United States)

    Munson, John

    2009-01-01

    In the seal literature you can find many attempts by various researchers to adapt film riding seals to the gas turbine engine. None have been successful, potential distortion of the sealing faces is the primary reason. There is a film riding device that does accommodate distortion and is in service in aircraft applications, namely the foil bearing. More specifically a foil thrust bearing. These are not intended to be seals, and they do not accommodate large axial movement between shaft & static structure. By combining the 2 a unique type of face seal has been created. It functions like a normal face seal. The foil thrust bearing replaces the normal primary sealing surface. The compliance of the foil bearing allows the foils to track distortion of the mating seal ring. The foil seal has several perceived advantages over existing hydrodynamic designs, enumerated in the chart. Materials and design methodology needed for this application already exist. Also the load capacity requirements for the foil bearing are low since it only needs to support itself and overcome friction forces at the antirotation keys.

  3. 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.

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

    OpenAIRE

    Salah, Albert Ali; 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 gallery. We explore the approach of registering the new facial surface to an average face model (AFM), which automatically establishes correspondence to the pre-registered gallery faces. We propose ...

  5. Face reconstruction from image sequences for forensic face comparison

    NARCIS (Netherlands)

    Dam, van Chris; Veldhuis, Raymond; Spreeuwers, Luuk

    2015-01-01

    The authors explore the possibilities of a dense model-free three-dimensional (3D) face reconstruction method, based on image sequences from a single camera, to improve the current state of forensic face comparison. They propose a new model-free 3D reconstruction method for faces, based on the Lambe

  6. Robust Face Recognition via Multimodal Deep Face Representation

    OpenAIRE

    Ding, Changxing; Tao, Dacheng

    2015-01-01

    Face images appeared in multimedia applications, e.g., social networks and digital entertainment, usually exhibit dramatic pose, illumination, and expression variations, resulting in considerable performance degradation for traditional face recognition algorithms. This paper proposes a comprehensive deep learning framework to jointly learn face representation using multimodal information. The proposed deep learning structure is composed of a set of elaborately designed convolutional neural ne...

  7. Face the music

    Institute of Scientific and Technical Information of China (English)

    何玲

    2004-01-01

    英语中的很多词语是不能望文生义的,如“face the music”这个短语。如果你认为是“面对、应付音乐”的话,就大错特错了。这个短语已有百年以上的历史了,是美国男女老少都非常熟悉的短语。最早使用这个表现法的是

  8. Face Avulsion and Degloving

    OpenAIRE

    Panse, Nikhil; Sahasrabudhe, Parag; Joshi, Namrata

    2014-01-01

    There have been sparse reports in literature of avulsion and degloving injuries of individual areas of face like the nose, eyelids, ear and even mandible. Hemi-facial degloving is extremely rare. We present a case of post-assault degloving of the nose, part of forehead with anterior wall of frontal sinus, entire upper and lower eyelids and the cheek. Proper planning and staging of the surgical procedures and use of local flaps, meticulous and proper alignment of tissues gave us good aesthetic...

  9. On toric face rings

    OpenAIRE

    Ichim, Bogdan; Roemer, Tim

    2006-01-01

    Following a construction of Stanley we consider toric face rings associated to rational pointed fans. This class of rings is a common generalization of the concepts of Stanley--Reisner and affine monoid algebras. The main goal of this article is to unify parts of the theories of Stanley--Reisner- and affine monoid algebras. We consider (non-pure) shellable fan's and the Cohen--Macaulay property. Moreover, we study the local cohomology, the canonical module and the Gorenstein property of a tor...

  10. Préface

    OpenAIRE

    Naugrette, Jean-Pierre

    2016-01-01

    Il y a pour moi une double fidélité à écrire quelques mots de Préface au livre d'Hélène Machinal sur la fiction de Conan Doyle, qui va de Sherlock Holmes au professeur Challenger en passant par les textes fantastiques. Mon premier article de critique, paru en 1981 dans Études Anglaises, portait sur « Énigme et spectacle chez Conan Doyle ». Rencontrant à cette occasion le pionnier des études doyliennes qu'est Pierre Nordon, et constatant avec lui que nous étions encore trop rares en France à n...

  11. Massignon face au sionisme

    OpenAIRE

    Mayeres, Agathe

    2010-01-01

    En 1916, Louis Massignon participe aux négociations franco-britanniques qui envisagent, dans la perspective de la capitulation probable des empires centraux, le futur partage de l’Empire ottoman. Dans ce contexte, Massignon cherche à se situer face la question sioniste qui, pour lui, est avant tout un problème de politique orientale.Sous l’influence d'Aaron Aaronsohn, l’islamologue éprouve d’abord pour les pionniers d’Eretz Israel, au regard de leurs réalisations agricoles, une sympathie enth...

  12. 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.

  13. Face-painting and Japan

    OpenAIRE

    Macfarlane, Alan.

    2004-01-01

    We see the elaborate application of whitner to the face and neck of a young trainee geisha (maiko). The colouring of the rest of the face is followed by the dressing in robes and exit into the street.

  14. Aging changes in the face

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/article/004004.htm Aging changes in the face To use the sharing ... Changes in face with age References Brodie SE. Aging and disorders of the eye. In: Fillit HM, ...

  15. Picasso: (in)human face

    OpenAIRE

    Cox, Neil

    2011-01-01

    Rejecting the notion that Picasso's representations of faces should always be considered in a biographical context as portraits, it is argued that in considering them as human faces we encounter a crisis in the idea of an essential humanity. The essay then discusses Picasso's faces relation to Georges Bataille's treatment of vernacular portrait photography and of animality in human emotional expression, arguing that Picasso's human faces court the inhuman. This inhuman countenance, bred so ef...

  16. IntraFace

    Science.gov (United States)

    De la Torre, Fernando; Chu, Wen-Sheng; Xiong, Xuehan; Vicente, Francisco; Ding, Xiaoyu; Cohn, Jeffrey

    2016-01-01

    Within the last 20 years, there has been an increasing interest in the computer vision community in automated facial image analysis algorithms. This has been driven by applications in animation, market research, autonomous-driving, surveillance, and facial editing among others. To date, there exist several commercial packages for specific facial image analysis tasks such as facial expression recognition, facial attribute analysis or face tracking. However, free and easy-to-use software that incorporates all these functionalities is unavailable. This paper presents IntraFace (IF), a publicly-available software package for automated facial feature tracking, head pose estimation, facial attribute recognition, and facial expression analysis from video. In addition, IFincludes a newly develop technique for unsupervised synchrony detection to discover correlated facial behavior between two or more persons, a relatively unexplored problem in facial image analysis. In tests, IF achieved state-of-the-art results for emotion expression and action unit detection in three databases, FERA, CK+ and RU-FACS; measured audience reaction to a talk given by one of the authors; and discovered synchrony for smiling in videos of parent-infant interaction. IF is free of charge for academic use at http://www.humansensing.cs.cmu.edu/intraface/.

  17. ITER plasma facing components

    International Nuclear Information System (INIS)

    This document summarizes results of the Conceptual Design Activities (1988-1990) for the International Thermonuclear Experimental Reactor (ITER) project, namely those that pertain to the plasma facing components of the reactor vessel, of which the main components are the first wall and the divertor plates. After an introduction and an executive summary, the principal functions of the plasma-facing components are delineated, i.e., (i) define the low-impurity region within which the plasma is produced, (ii) absorb the electromagnetic radiation and charged-particle flux from the plasma, and (iii) protect the blanket/shield components from the plasma. A list of critical design issues for the divertor plates and the first wall is given, followed by discussions of the divertor plate design (including the issues of material selection, erosion lifetime, design concepts, thermal and mechanical analysis, operating limits and overall lifetime, tritium inventory, baking and conditioning, safety analysis, manufacture and testing, and advanced divertor concepts) and the first wall design (armor material and design, erosion lifetime, overall design concepts, thermal and mechanical analysis, lifetime and operating limits, tritium inventory, baking and conditioning, safety analysis, manufacture and testing, an alternative first wall design, and the limiters used instead of the divertor plates during start-up). Refs, figs and tabs

  18. 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

  19. Face to Face: Anthropometry-Based Interactive Face Shape Modeling Using Model Priors

    OpenAIRE

    Yu Zhang; Edmond C. Prakash

    2009-01-01

    This paper presents a new anthropometrics-based method for generating realistic, controllable face models. Our method establishes an intuitive and efficient interface to facilitate procedures for interactive 3D face modeling and editing. It takes 3D face scans as examples in order to exploit the variations presented in the real faces of individuals. The system automatically learns a model prior from the data-sets of example meshes of facial features using principal component analysis (PCA) an...

  20. Préface

    OpenAIRE

    Noiriel, Gérard

    2014-01-01

    L’Introduction aux études historiques de Charles-Victor Langlois et Charles Seignobos a été rééditée en 1992 par les éditions Kimé, avec une préface de Madeleine Rebérioux qui a été ma directrice de thèse. Recommencer l’exercice vingt ans après, c’est une manière de transmettre le « témoin » d’une génération d’historiens à la suivante, tout en essayant d’apporter quelques éclairages nouveaux sur un manuel qui a pourtant déjà fait couler beaucoup d’encre. Les auteurs précisent dans leur introd...

  1. Face lift postoperative recovery.

    Science.gov (United States)

    Mottura, A Aldo

    2002-01-01

    The purpose of this paper is to describe what I have studied and experienced, mainly regarding the control and prediction of the postoperative edema; how to achieve an agreeable recovery and give positive support to the patient, who in turn will receive pleasant sensations that neutralize the negative consequences of the surgery.After the skin is lifted, the drainage flow to the flaps is reversed abruptly toward the medial part of the face, where the flap bases are located. The thickness and extension of the flap determines the magnitude of the post-op edema, which is also augmented by medial surgeries (blepharo, rhino) whose trauma obstruct their natural drainage, increasing the congestion and edema. To study the lymphatic drainage, the day before an extended face lift (FL) a woman was infiltrated in the cheek skin with lynfofast (solution of tecmesio) and the absorption was observed by gamma camera. Seven days after the FL she underwent the same study; we observed no absorption by the lymphatic, concluding that a week after surgery, the lymphatic network was still damaged. To study the venous return during surgery, a fine catheter was introduced into the external jugular vein up to the mandibular border to measure the peripheral pressure. Following platysma plication the pressure rose, and again after a simple bandage, but with an elastic bandage it increased even further, diminishing considerably when it was released. Hence, platysma plication and the elastic bandage on the neck augment the venous congestion of the face. There are diseases that produce and can prolong the surgical edema: cardiac, hepatic, and renal insufficiencies, hypothyroidism, malnutrition, etc. According to these factors, the post-op edema can be predicted, the surgeon can choose between a wide dissection or a medial surgery, depending on the social or employment compromises the patient has, or the patient must accept a prolonged recovery if a complex surgery is necessary. Operative

  2. Energy conservation using face detection

    Science.gov (United States)

    Deotale, Nilesh T.; Kalbande, Dhananjay R.; Mishra, Akassh A.

    2011-10-01

    Computerized Face Detection, is concerned with the difficult task of converting a video signal of a person to written text. It has several applications like face recognition, simultaneous multiple face processing, biometrics, security, video surveillance, human computer interface, image database management, digital cameras use face detection for autofocus, selecting regions of interest in photo slideshows that use a pan-and-scale and The Present Paper deals with energy conservation using face detection. Automating the process to a computer requires the use of various image processing techniques. There are various methods that can be used for Face Detection such as Contour tracking methods, Template matching, Controlled background, Model based, Motion based and color based. Basically, the video of the subject are converted into images are further selected manually for processing. However, several factors like poor illumination, movement of face, viewpoint-dependent Physical appearance, Acquisition geometry, Imaging conditions, Compression artifacts makes Face detection difficult. This paper reports an algorithm for conservation of energy using face detection for various devices. The present paper suggests Energy Conservation can be done by Detecting the Face and reducing the brightness of complete image and then adjusting the brightness of the particular area of an image where the face is located using histogram equalization.

  3. Learning Compact Binary Face Descriptor for Face Recognition.

    Science.gov (United States)

    Lu, Jiwen; Liong, Venice Erin; Zhou, Xiuzhuang; Zhou, Jie

    2015-10-01

    Binary feature descriptors such as local binary patterns (LBP) and its variations have been widely used in many face recognition systems due to their excellent robustness and strong discriminative power. However, most existing binary face descriptors are hand-crafted, which require strong prior knowledge to engineer them by hand. In this paper, we propose a compact binary face descriptor (CBFD) feature learning method for face representation and recognition. Given each face image, we first extract pixel difference vectors (PDVs) in local patches by computing the difference between each pixel and its neighboring pixels. Then, we learn a feature mapping to project these pixel difference vectors into low-dimensional binary vectors in an unsupervised manner, where 1) the variance of all binary codes in the training set is maximized, 2) the loss between the original real-valued codes and the learned binary codes is minimized, and 3) binary codes evenly distribute at each learned bin, so that the redundancy information in PDVs is removed and compact binary codes are obtained. Lastly, we cluster and pool these binary codes into a histogram feature as the final representation for each face image. Moreover, we propose a coupled CBFD (C-CBFD) method by reducing the modality gap of heterogeneous faces at the feature level to make our method applicable to heterogeneous face recognition. Extensive experimental results on five widely used face datasets show that our methods outperform state-of-the-art face descriptors. PMID:26340256

  4. FACE DETECTION USING EIGEN METHOD

    Directory of Open Access Journals (Sweden)

    HASHAAM NAEEM

    2012-03-01

    Full Text Available As continual research is being conducted in the area of computer vision, one of the most practical applications under vigorous development is in the construction of a robust face detection system. While the problem of detecting faces under various variations remains largely unsolved, a demonstration system as proof of concept that such systems are now becoming practical have been developed. A system capable of reliable detection, with reduced constraints in regards to the position and orientation of the face and the illumination and background of the image, has been implemented. Those face detection system is based upon “eigenfaces”, which has been separated into three major modules – pre-processing, construction of face space and face localization. A completely robust real-time face detectionsystem is still under heavy investigation and development, the implemented systems are still serving as an extendable foundation for future research.

  5. The face, beauty, and symmetry: Perceiving asymmetry in beautiful faces

    OpenAIRE

    Zaidel, Dr. Dahlia W.; Cohen, Jennifer A.

    2005-01-01

    The relationship between bilateral facial symmetry and beauty remains to be clarified. Here, straight head-on photographs of “beautiful” faces from the collections of professional modeling agencies were selected. First, beauty ratings were obtained for these faces. Then, the authors created symmetrical left-left and right-right composites of the beautiful faces and asked a new group of subjects to choose the most attractive pair member. “Same” responses were allowed. No difference between the...

  6. From face to face to e-learning

    OpenAIRE

    Svedberg, Anna

    2014-01-01

    The aim of this project is to evaluate whether the e-learning material, that has been converted from face-to-face course material to e-learning materialon the basis of the revised version of Bloom's taxonomy and learning strategies, is pedagogical in the sense that the students realize the categories of the three domains of learning in Bloom's taxonomy. To achieve the aim of this project a face-to-face course will be converted to an e-learning course; that will then be evaluated. The results ...

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

    Directory of Open Access Journals (Sweden)

    Marina A Pavlova

    Full Text Available 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.

  8. Face To Face Or E-Learningin Turkish Efl Context

    OpenAIRE

    SOLAK, Ekrem; Recep CAKIR

    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 and subjects were 221 students from two different Vocational Higher Schools taking up English course through e-learning and traditional learning. Th...

  9. 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...

  10. 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.

  11. 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.

  12. FAKE FACE DATABASE AND PREPROCESSING

    Directory of Open Access Journals (Sweden)

    Aruni Singh

    2013-02-01

    Full Text Available Face plays an ethical role in human interaction compared to other biometrics. It is most popular non-intrusive and non-invasive biometrics whose image can easily be snapped without user co-operation. That is why; criminals and imposters always try to tamper their facial identity. Therefore, face tampering detection is one of the most important bottlenecks for security, commercial and industrial orbit. Face tampering detection is one of the most important bottlenecks for security, commercial and industrial orbit. In particular, few researchers have addressed the challenges for the disguise detection but inadequacy is benchmark database in public domain. This paper addresses these problems by preparing of three category of tampered face database within the framework of FRT (Facial Recognition Technology and evaluates the performance of this database on face recognition algorithms. These categories of database are dummy, colour imposed and masked face.

  13. A SURVEY ON FACE RECOGNITION

    OpenAIRE

    R.VINODINI; DR.M.KARNAN

    2014-01-01

    Face recognition is one of the most emerging and popular biometric authentication of a person, it presents a challenging problem in the field of image analysis and computer vision. Though there are various biometric traits such as iris, fingerprint and palm print etc., we focused on face recognition as it is socially acceptable and reliable. Here user identity plays a very important role to uniquely verify or authenticate the individual person. Many techniques were implemented in face recogni...

  14. Forensic Face Recognition: A Survey

    OpenAIRE

    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 the forensic experts‟ way of manual facial comparison. Then we review famous works in the domain of forensic face recognition. Some of these papers describe general trends in forensics [1], guidelin...

  15. When is a Face a Face? Schematic Faces, Emotion, Attention and the N170

    Directory of Open Access Journals (Sweden)

    Frances A. Maratos

    2015-09-01

    Full Text Available Emotional facial expressions provide important non-verbal cues as to the imminent behavioural intentions of a second party. Hence, within emotion science the processing of faces (emotional or otherwise has been at the forefront of research. Notably, however, such research has led to a number of debates including the ecological validity of utilising schematic faces in emotion research, and the face-selectively of N170. In order to investigate these issues, we explored the extent to which N170 is modulated by schematic faces, emotional expression and/or selective attention. Eighteen participants completed a three-stimulus oddball paradigm with two scrambled faces as the target and standard stimuli (counter-balanced across participants, and schematic angry, happy and neutral faces as the oddball stimuli. Results revealed that the magnitude of the N170 associated with the target stimulus was: (i significantly greater than that elicited by the standard stimulus, (ii comparable with the N170 elicited by the neutral and happy schematic face stimuli, and (iii significantly reduced compared to the N170 elicited by the angry schematic face stimulus. These findings extend current literature by demonstrating N170 can be modulated by events other than those associated with structural face encoding; i.e. here, the act of labelling a stimulus a ‘target’ to attend to modulated the N170 response. Additionally, the observation that schematic faces demonstrate similar N170 responses to those recorded for real faces and, akin to real faces, angry schematic faces demonstrated heightened N170 responses, suggests caution should be taken before disregarding schematic facial stimuli in emotion processing research per se.

  16. 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.

  17. A SURVEY ON FACE RECOGNITION

    Directory of Open Access Journals (Sweden)

    R.VINODINI

    2014-02-01

    Full Text Available Face recognition is one of the most emerging and popular biometric authentication of a person, it presents a challenging problem in the field of image analysis and computer vision. Though there are various biometric traits such as iris, fingerprint and palm print etc., we focused on face recognition as it is socially acceptable and reliable. Here user identity plays a very important role to uniquely verify or authenticate the individual person. Many techniques were implemented in face recognition all having their respective pros and cons. In this paper, we presented an overview of face recognition techniques and its applications.

  18. Blending MOOCs in Face-to-Face Teaching and Studies

    DEFF Research Database (Denmark)

    Nortvig, Anne-Mette; Gynther, Karsten; Gundersen, Peter Bukovica

    2016-01-01

    inspired by grounded theory. The paper will categorise former design experiments with MOOCs in blended settings, and, using design workshops and interviews with educators as our point of departure, we will sketch and discuss various models for blending MOOCs with face-to-face teaching and supporting...

  19. 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…

  20. 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

  1. Implementation of Face Recognition in Cloud Vision Using Eigen Faces

    Directory of Open Access Journals (Sweden)

    Shrihari M R

    2014-07-01

    Full Text Available Cloud computing comes in several different forms and this article documents how service, Face is a complex multidimensional visual model and developing a computational model for face recognition is difficult. The papers discuss a methodology for face recognition based on information theory approach of coding and decoding the face image. Proposed System is connection of two stages – Feature extraction using principle component analysis and recognition using the back propagation Network. This paper also discusses our work with the design and implementation of face recognition applications using our mobile-cloudlet-cloud architecture named MOCHA and its initial performance results. The dispute lies with how to performance task partitioning from mobile devices to cloud and distribute compute load among cloud servers to minimize the response time given diverse communication latencies and server compute powers

  2. 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

  3. 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.

  4. 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…

  5. Inversion and Configuration of Faces.

    Science.gov (United States)

    Bartlett, James C.; Searcy, Jean

    1993-01-01

    The Thatcher illusion, in which the inverted mouth and eyes of a face appear grotesque when upright, but not when the whole configuration is inverted, was studied in 3 experiments involving 89 undergraduates. Results suggest that the illusion represents a disruption of encoding of holistic information when faces are inverted. (SLD)

  6. 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…

  7. 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. PMID:25765156

  8. Face, portrait, mask: The virtuality of the synthetic face

    OpenAIRE

    DiPaola, Steve

    2004-01-01

    With new technological artistic tools that allow us to author 3D computer generated faces that can be as real or as abstract or as iconified as we choose, what aesthetic and cultural communication language do we elicit? Is it the historically rich language of the fine art portrait ? the abstracted artifact of the human face? What happens when this portrait animates, conveying lifelike human facial emotion ? does it cease to be a portrait and instead moves into the realm of embodied face ? whe...

  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. The face, beauty, and symmetry: perceiving asymmetry in beautiful faces.

    Science.gov (United States)

    Zaidel, D W; Cohen, J A

    2005-08-01

    The relationship between bilateral facial symmetry and beauty remains to be clarified. Here, straight head-on photographs of "beautiful" faces from the collections of professional modeling agencies were selected. First, beauty ratings were obtained for these faces. Then, the authors created symmetrical left-left and right-right composites of the beautiful faces and asked a new group of subjects to choose the most attractive pair member. "Same" responses were allowed. No difference between the left-left and right-right composites was revealed but significant differences were obtained between "same" and the left-left or right-right. These results show that subjects detected asymmetry in beauty and suggest that very beautiful faces can be functionally asymmetrical. PMID:16040358

  12. Can Faces Prime a Language?

    Science.gov (United States)

    Woumans, Evy; Martin, Clara D; Vanden Bulcke, Charlotte; Van Assche, Eva; Costa, Albert; Hartsuiker, Robert J; Duyck, Wouter

    2015-09-01

    Bilinguals have two languages that are activated in parallel. During speech production, one of these languages must be selected on the basis of some cue. The present study investigated whether the face of an interlocutor can serve as such a cue. Spanish-Catalan and Dutch-French bilinguals were first familiarized with certain faces, each of which was associated with only one language, during simulated Skype conversations. Afterward, these participants performed a language production task in which they generated words associated with the words produced by familiar and unfamiliar faces displayed on-screen. When responding to familiar faces, participants produced words faster if the faces were speaking the same language as in the previous Skype simulation than if the same faces were speaking a different language. Furthermore, this language priming effect disappeared when it became clear that the interlocutors were actually bilingual. These findings suggest that faces can prime a language, but their cuing effect disappears when it turns out that they are unreliable as language cues. PMID:26209531

  13. Facing Jazz, Facing Trauma: Modern Trauma and the Jazz Archive

    OpenAIRE

    Singleton, Tyfahra Danielle

    2011-01-01

    "Facing Jazz, Facing Trauma" posits American jazz music as a historical archive of an American history of trauma. By reading texts by Gayl Jones, Ralph Ellison, Franz Kafka; music and performances by Louis Armstrong and Billie Holiday; the life, art and films of Josephine Baker, and the film The Jazz Singer (1927), my goal is to give African American experiences of trauma a place within American trauma studies and to offer jazz as an extensive archive of testimony for witnessing and for stud...

  14. Addressee Identification In Face-to-Face Meetings

    OpenAIRE

    Jovanović, Natasa; Akker, op den, Harm; Nijholt, Anton; McCarthy, D.; Wintner, S.

    2006-01-01

    We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the addressee of a dialogue act can be predicted based on gaze, utterance and conversational context features. Then, we explore whether information about meeting context can aid classifiers’ performances. Both classifiers perform the best when conversational context and utterance features are combined with speaker’s gaze i...

  15. Gaze behavior in face-to-face interaction

    OpenAIRE

    F. Rossano

    2012-01-01

    Wat doen onze ogen als we met andere mensen praten? In zijn proefschrift beschrijft Federico Rossano hoe mensen hun ogen gebruiken tijdens face-to-face interacties. Onze oogbewegingen blijken opvallend geordend en voorspelbaar: zo is het bijvoorbeeld mogelijk om met uitsluitend de ogen een reactie uit te lokken als de gesprekspartner niet direct reageert. Ook wanneer bijvoorbeeld een vraag-antwoordreeks ten einde loopt, coördineren gespreksdeelnemers hun oogbewegingen op een specifieke manier...

  16. Virtually face to face: enriching collaborative learning through multiplayer games

    OpenAIRE

    Bluemink, J. (Johanna)

    2011-01-01

    Abstract This study focused on enriching collaborative learning through pedagogically scripted multiplayer games. Collaborative learning was examined in the synchronous discussions of small group problem-solving activities in face-to-face and virtual game settings. The theoretical approach is socio-cognitive and builds on the contextual and situated nature of learning. Interaction between group members in social situations is a key mechanism fostering students’ collaborative learning. In ...

  17. Side-View Face Recognition

    OpenAIRE

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

    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 the use of side-view face recognition in house safety applications. Our goal is to recognize people as they pass through doors in order to estimate their location in the house. In order to preserve p...

  18. Side-View Face Recognition

    OpenAIRE

    Santemiz, Pinar; Spreeuwers, Luuk J.; Veldhuis, Raymond N. J.

    2010-01-01

    Side-view face recognition is a challenging problem with many applications. Especially in real-life scenarios where the environment is uncontrolled, coping with pose variations up to side-view positions is an important task for face recognition. In this paper we discuss the use of side view face recognition techniques to be used in house safety applications. Our aim is to recognize people as they pass through a door, and estimate their location in the house. Here, we compare available databas...

  19. Automatic face alignment by maximizing similarity score

    OpenAIRE

    Boom, Bas; Spreeuwers, Luuk; Veldhuis, Raymond; Fred, A.; Jain, A. K.

    2007-01-01

    Accurate face registration is of vital importance to the performance of a face recognition algorithm. We propose a face registration method which searches for the optimal alignment by maximizing the score of a face recognition algorithm. In this paper we investigate the practical usability of our face registration method. Experiments show that our registration method achieves better results in face verification than the landmark based registration method. We even obtain face verification resu...

  20. 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.

  1. 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.

  2. 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.

  3. 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, ...

  4. 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.

  5. 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.

  6. A Survey: Face Recognition Techniques

    OpenAIRE

    Muhammad Sharif; Sajjad Mohsin; Muhammad Younas Javed

    2012-01-01

    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 proce...

  7. 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.

  8. 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.}...

  9. 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...

  10. Robust Face Sketch Style Synthesis.

    Science.gov (United States)

    Shengchuan Zhang; Xinbo Gao; Nannan Wang; Jie Li

    2016-01-01

    Heterogeneous image conversion is a critical issue in many computer vision tasks, among which example-based face sketch style synthesis provides a convenient way to make artistic effects for photos. However, existing face sketch style synthesis methods generate stylistic sketches depending on many photo-sketch pairs. This requirement limits the generalization ability of these methods to produce arbitrarily stylistic sketches. To handle such a drawback, we propose a robust face sketch style synthesis method, which can convert photos to arbitrarily stylistic sketches based on only one corresponding template sketch. In the proposed method, a sparse representation-based greedy search strategy is first applied to estimate an initial sketch. Then, multi-scale features and Euclidean distance are employed to select candidate image patches from the initial estimated sketch and the template sketch. In order to further refine the obtained candidate image patches, a multi-feature-based optimization model is introduced. Finally, by assembling the refined candidate image patches, the completed face sketch is obtained. To further enhance the quality of synthesized sketches, a cascaded regression strategy is adopted. Compared with the state-of-the-art face sketch synthesis methods, experimental results on several commonly used face sketch databases and celebrity photos demonstrate the effectiveness of the proposed method. PMID:26595919

  11. Remembering Faces with Emotional Expressions

    Directory of Open Access Journals (Sweden)

    Chang Hong eLiu

    2014-12-01

    Full Text Available It is known that happy faces create more robust identity recognition memory than faces with some other expressions. However, this advantage was not verified against all basic expressions. Moreover, no research has assessed whether similar differences also exist among other expressions. To tackle these questions, we compared the effects of six basic emotional expressions on recognition memory using a standard old/new recognition task. The experiment also examined whether exposure to different emotional expressions at training creates variable effects on transfer of the trained faces to a new/neutral expression. Our results suggest that happy faces produced better identity recognition relative to disgusted faces, regardless of whether they were tested in the same image or a new image displaying a neutral expression. None of the other emotional expressions created measurable advantage for recognition memory. Overall, our data lend further support for the happy face advantage for long-term recognition memory. However, our detailed analyses also show that the advantage of happy expression on identity recognition may not be equally discernible from all other emotional expressions.

  12. ExpressionBot: An Emotive Lifelike Robotic Face for Face-to-Face Communication

    OpenAIRE

    Mollahosseini, Ali; Graitzer, Gabriel; Borts, Eric; Conyers, Stephen; Voyles, Richard M.; Cole, Ronald; Mahoor, Mohammad H.

    2015-01-01

    This article proposes an emotive lifelike robotic face, called ExpressionBot, that is designed to support verbal and non-verbal communication between the robot and humans, with the goal of closely modeling the dynamics of natural face-to-face communication. The proposed robotic head consists of two major components: 1) a hardware component that contains a small projector, a fish-eye lens, a custom-designed mask and a neck system with 3 degrees of freedom; 2) a facial animation system, project...

  13. 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.

  14. 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

  15. Colour Face Image Database for Skin Segmentation, Face Detection, Recognition and Tracking of Black Faces Under Real- Life Situations

    Directory of Open Access Journals (Sweden)

    OJO, John Adedapo, Adeniran, Solomon A

    2011-02-01

    Full Text Available This paper presents a new face database containing only black face images. It isdesigned to be used for benchmarking algorithms developed for skinsegmentation, face detection and recognition under real life situations. Thedatabase contains coloured images of black faces in JPEG formats taken over aperiod of two years (2007-2009. It contains three subfolders, where the imageshave been grouped for face detection, face recognition and face trackingpurposes. There are over 100 images for face detection containing more than150 face images and 600 images of ten per 60 individuals for face recognitionand 10s video sequences of ten black faces. An interactive Graphic UserInterface (GUI was developed in Matlab® (7.4.1a version for the face databaseproviding basic information about the images as well as creating an interactiveand easy to use environment.

  16. Face adaptation: Changing stable representations of familiar faces within minutes?

    Directory of Open Access Journals (Sweden)

    Claus-Christian Carbon

    2005-01-01

    Full Text Available Three experiments are reported showing that the perception and the assessment of veridicality of familiar faces are highly adaptive to new visual information. Subjects were asked to discriminate between real photographs and altered versions of celebrities. Exposing participants to extremely deviated versions changed the usually stable representations of the famous faces within a very short time. In Experiment 1, exposure to an extreme face version resulted in identity decisions shifted towards the exposed one. Experiment 2 revealed that the effects are not short lasting. In Experiment 3, we showed that the effect also generalizes to different pictures of the same famous person. Together the experiments seem to indicate that the brain permanently adapts to new perceptual information and integrates new data within already elaborated representations in a fast way.

  17. Eye tracking unconscious face-to-face confrontations: dominance motives prolong gaze to masked angry faces.

    Science.gov (United States)

    Terburg, David; Hooiveld, Nicole; Aarts, Henk; Kenemans, J Leon; van Honk, Jack

    2011-03-01

    In primates, dominance/submission relationships are generally automatically and nonaggressively established in face-to-face confrontations. Researchers have argued that this process involves an explicit psychological stress-manipulation mechanism: Striding with a threatening expression, while keeping direct eye contact, outstresses rivals so that they submissively avert their gaze. In contrast, researchers have proposed a reflexive and implicit modulation of face-to-face confrontation in humans, on the basis of evidence that dominant and submissive individuals exhibit vigilant and avoidant responses, respectively, to facial anger in masked emotional Stroop tasks. However, these tasks do not provide an ecologically valid index of gaze behavior. Therefore, we directly measured gaze responses to masked angry, happy, and neutral facial expressions with a saccade-latency paradigm and found that increased dominance traits predict a more prolonged gaze to (or reluctance to avert gaze from) masked anger. Furthermore, greater non-dominance-related reward sensitivity predicts more persistent gaze to masked happiness. These results strongly suggest that implicit and reflexive mechanisms underlie dominant and submissive gaze behavior in face-to-face confrontations. PMID:21303993

  18. Face recognition for uncontrolled environments

    Science.gov (United States)

    Podilchuk, Christine; Hulbert, William; Flachsbart, Ralph; Barinov, Lev

    2010-04-01

    A new face recognition algorithm has been proposed which is robust to variations in pose, expression, illumination and occlusions such as sunglasses. The algorithm is motivated by the Edit Distance used to determine the similarity between strings of one dimensional data such as DNA and text. The key to this approach is how to extend the concept of an Edit Distance on one-dimensional data to two-dimensional image data. The algorithm is based on mapping one image into another and using the characteristics of the mapping to determine a two-dimensional Pictorial-Edit Distance or P-Edit Distance. We show how the properties of the mapping are similar to insertion, deletion and substitution errors defined in an Edit Distance. This algorithm is particularly well suited for face recognition in uncontrolled environments such as stand-off and other surveillance applications. We will describe an entire system designed for face recognition at a distance including face detection, pose estimation, multi-sample fusion of video frames and identification. Here we describe how the algorithm is used for face recognition at a distance, present some initial results and describe future research directions.(

  19. Evaluating face trustworthiness: a model based approach

    OpenAIRE

    Todorov, Alexander; Baron, Sean G.; Oosterhof, Nikolaas N.

    2008-01-01

    Judgments of trustworthiness from faces determine basic approach/avoidance responses and approximate the valence evaluation of faces that runs across multiple person judgments. Here, based on trustworthiness judgments and using a computer model for face representation, we built a model for representing face trustworthiness (study 1). Using this model, we generated novel faces with an increased range of trustworthiness and used these faces as stimuli in a functional Magnetic Resonance Imaging ...

  20. Configural processing in face recognition in schizophrenia

    OpenAIRE

    Schwartz, Barbara L.; Marvel, Cherie L.; Drapalski, Amy; Rosse, Richard B.; Deutsch, Stephen I.

    2002-01-01

    Introduction. There is currently substantial literature to suggest that patients with schizophrenia are impaired on many face-processing tasks. This study investigated the specific effects of configural changes on face recognition in groups of schizophrenia patients. Methods. In Experiment 1, participants identified facial expressions in upright faces and in faces inverted from their upright orientation. Experiments 2 and 3 examined recognition memory for faces and other non-face objects pres...

  1. FAME: Face Association through Model Evolution

    OpenAIRE

    Golge, Eren; Duygulu, Pinar

    2014-01-01

    We attack the problem of learning face models for public faces from weakly-labelled images collected from web through querying a name. The data is very noisy even after face detection, with several irrelevant faces corresponding to other people. We propose a novel method, Face Association through Model Evolution (FAME), that is able to prune the data in an iterative way, for the face models associated to a name to evolve. The idea is based on capturing discriminativeness and representativenes...

  2. 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.

  3. L'islamisme en face

    OpenAIRE

    Burgat, François

    2002-01-01

    Préface à la réédition 2002 (retirée de la réédition 2007) du livre L'islamisme en face, Paris, La Découverte 1995 Both Michel Foucault and Pierre Bourdieu have expressed far greater nuance in their understanding of Political Islam than anything airily vented by the French « Nouveaux Philosophes ». In the Middle East as elsewhere, the use of violence has in fact long been correlated with any and all brands of ideology and with all religions extant. After the September 11 2001 attacks, rapt...

  4. Saving Face and Group Identity

    DEFF Research Database (Denmark)

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

    2015-01-01

    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...... 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....

  5. The HappyFace Project

    International Nuclear Information System (INIS)

    An efficient administration of computing centres requires sophisticated tools for the monitoring of the local computing infrastructure. The enormous flood of information from different monitoring sources retards the identification of problems and complicates the local administration unnecessarily. The meta-monitoring system 'HappyFace' offers elegant mechanisms to collect, process and evaluate all relevant information and to condense it into a simple rating visualisation, reflecting the current status of a computing centre. In this paper, we give an overview of the HappyFace architecture and selected modules.

  6. Learning Robust Deep Face Representation

    OpenAIRE

    Wu, Xiang

    2015-01-01

    With the development of convolution neural network, more and more researchers focus their attention on the advantage of CNN for face recognition task. In this paper, we propose a deep convolution network for learning a robust face representation. The deep convolution net is constructed by 4 convolution layers, 4 max pooling layers and 2 fully connected layers, which totally contains about 4M parameters. The Max-Feature-Map activation function is used instead of ReLU because the ReLU might lea...

  7. 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),

  8. 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

  9. A Comparison of Online and Face-to-Face Approaches to Teaching Introduction to American Government

    Science.gov (United States)

    Bolsen, Toby; Evans, Michael; Fleming, Anna McCaghren

    2016-01-01

    This article reports results from a large study comparing four different approaches to teaching Introduction to American Government: (1) traditional, a paper textbook with 100% face-to-face lecture-style teaching; (2) breakout, a paper textbook with 50% face-to-face lecture-style teaching and 50% face-to-face small-group breakout discussion…

  10. Learning to face stochastic demand

    OpenAIRE

    Flåm, Sjur Didrik; Sandsmark, Maria

    2000-01-01

    We consider repeated interaction among several producers of a homogenous, divisible good, traded at a common market. Demand is uncertain, and its law is unknown. We explore an adaptive scheme leading such producers over time, to face correct demand data. Extensions include non-cooperative games in which strategic interaction is felt via exactly two real parameters.

  11. 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.

  12. 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...... the “etic”). In our view, two points seem critical: a) are P1 and P2 sufficiently well described to be of use in the broader analytical context that is face analysis today? And b) what contribution does this distinction make towards a greater understanding of the data? From our research on facework in...... macro-level we discuss how P1 and P2 are integrated into the global interpretation of face. While researchers of face analysis work typically consider P1 and P2 as independent categories, we believe the contributions of P1 and P2 cannot be disassociated. Both must be taken into account in the global...

  13. 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...

  14. 3D Face Appearance Model

    OpenAIRE

    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.}

  15. 3D Face Apperance Model

    OpenAIRE

    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

  16. Managers facing the climatic risks

    International Nuclear Information System (INIS)

    This colloquium aimed to analyze the relations between the climatic changes and extreme meteorological events and on the associated risks. It provides information and knowledge on the state of the art concerning the today scientific knowledge, the prevention measures and the adaptation facing the risks and the difficult estimation of the climatic damages costs. (A.L.B.)

  17. Families Facing the Nuclear Taboo.

    Science.gov (United States)

    Jacobs, Judith Bula

    1988-01-01

    Discusses attitudes of 12 families participating in group which was formed to focus on issues related to the possibility of a nuclear disaster. Why and how these families are facing the nuclear taboo plus various outcomes of doing so are discussed as well as the role of the professional in encouraging such openness about these difficult issues.…

  18. Quantitative Analysis of Face Symmetry.

    Science.gov (United States)

    Tamir, Abraham

    2015-06-01

    The major objective of this article was to report quantitatively the degree of human face symmetry for reported images taken from the Internet. From the original image of a certain person that appears in the center of each triplet, 2 symmetric combinations were constructed that are based on the left part of the image and its mirror image (left-left) and on the right part of the image and its mirror image (right-right). By applying a computer software that enables to determine length, surface area, and perimeter of any geometric shape, the following measurements were obtained for each triplet: face perimeter and area; distance between the pupils; mouth length; its perimeter and area; nose length and face length, usually below the ears; as well as the area and perimeter of the pupils. Then, for each of the above measurements, the value C, which characterizes the degree of symmetry of the real image with respect to the combinations right-right and left-left, was calculated. C appears on the right-hand side below each image. A high value of C indicates a low symmetry, and as the value is decreasing, the symmetry is increasing. The magnitude on the left relates to the pupils and compares the difference between the area and perimeter of the 2 pupils. The major conclusion arrived at here is that the human face is asymmetric to some degree; the degree of asymmetry is reported quantitatively under each portrait. PMID:26080172

  19. Face Liveness Detection Using Defocus

    Directory of Open Access Journals (Sweden)

    Sooyeon Kim

    2015-01-01

    Full Text Available In order to develop security systems for identity authentication, face recognition (FR technology has been applied. One of the main problems of applying FR technology is that the systems are especially vulnerable to attacks with spoofing faces (e.g., 2D pictures. To defend from these attacks and to enhance the reliability of FR systems, many anti-spoofing approaches have been recently developed. In this paper, we propose a method for face liveness detection using the effect of defocus. From two images sequentially taken at different focuses, three features, focus, power histogram and gradient location and orientation histogram (GLOH, are extracted. Afterwards, we detect forged faces through the feature-level fusion approach. For reliable performance verification, we develop two databases with a handheld digital camera and a webcam. The proposed method achieves a 3.29% half total error rate (HTER at a given depth of field (DoF and can be extended to camera-equipped devices, like smartphones.

  20. "Put on a Happy Face"

    Science.gov (United States)

    Morris, Michael

    2004-01-01

    All evaluators face the challenge of striving to adhere to the highest possible standards of ethical conduct. Translating the AEA's Guiding Principles and the Joint Committee's Program Evaluation Standards into everyday practice, however, can be a complex, uncertain, and frustrating endeavor. Moreover, acting in an ethical fashion can require…

  1. The Many Faces of Language.

    Science.gov (United States)

    Werdmann, Anne M.

    In a sixth-grade unit, students learned about people's facial expressions through careful observation, recording, reporting, and generalizing. The students studied the faces of people of various ages; explored "masks" that people wear in different situations; learned about the use of ritual masks; made case studies of individuals to show facial…

  2. Coordinating face-to-face meetings in mobile network societies

    DEFF Research Database (Denmark)

    Larsen, Jonas; Urry, John; Axhausen, Kay

    2008-01-01

    and social networks through a particular focus upon the multiple processes of coordination. We specifically examine how communications are used to coordinate meetings between friends and family members, and how these 'coordination technologies' have in part changed the nature of arrangements to meet...... and conduct face-to-face meetings. We show striking changes in technologies and cultures of coordination - a shift from punctuality effected through clock time to a flexible and perpetual coordination effected through email and mobiles. This empirical research addresses specifically located embodied practices......This exploratory article describes and develops theoretical notions of how coordination takes place within mobile network societies, that is, societies where travel, ties at-a-distance, email and mobile communications are widespread. The article brings together studies of travel, communications...

  3. Item Nonresponse in Face-to-Face Interviews with Children

    Directory of Open Access Journals (Sweden)

    Haunberger Sigrid

    2014-09-01

    Full Text Available This study examined item nonresponse and its respondent and interviewer correlates by means of a population-based, panel survey of children aged 8 to 11 who were surveyed using standardised, face-to-face interviews. Using multilevel, logistic analyses with cross-level interactions, this article aims to examine which effects of item nonresponse are subject to children as respondents or to the interviewers and the interview setting. Depending on the type of question, we found different effects for respondent and interviewer variables, as well as interaction effects between child age/interviewer age as well as child gender/interviewer gender. However, interviewer variance is for the most part not significant.

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

    OpenAIRE

    Andrej Iskra; Helena Gabrijelčič Tomc

    2016-01-01

    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 c...

  5. Generalization across view in face memory and face matching

    OpenAIRE

    Alejandro J. Estudillo; Bindemann, Markus

    2014-01-01

    While a change in view is considered to be one of the most damaging manipulations for facial identification, this phenomenon has been measured traditionally with tasks that confound perceptual processes with recognition memory. This study explored facial identification with a pairwise matching task to determine whether view generalization is possible when memory factors are minimized. Experiment 1 showed that the detrimental view effect in recognition memory is attenuated in face matching. Mo...

  6. Human Face as human single identity

    OpenAIRE

    Warnars, Spits

    2014-01-01

    Human face as a physical human recognition can be used as a unique identity for computer to recognize human by transforming human face with face algorithm as simple text number which can be primary key for human. Human face as single identity for human will be done by making a huge and large world centre human face database, where the human face around the world will be recorded from time to time and from generation to generation. Architecture database will be divided become human face image ...

  7. 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

  8. Prioritized Detection of Personally Familiar Faces.

    Science.gov (United States)

    Gobbini, Maria Ida; Gors, Jason D; Halchenko, Yaroslav O; Rogers, Courtney; Guntupalli, J Swaroop; Hughes, Howard; Cipolli, Carlo

    2013-01-01

    We investigated whether personally familiar faces are preferentially processed in conditions of reduced attentional resources and in the absence of conscious awareness. In the first experiment, we used Rapid Serial Visual Presentation (RSVP) to test the susceptibility of familiar faces and faces of strangers to the attentional blink. In the second experiment, we used continuous flash interocular suppression to render stimuli invisible and measured face detection time for personally familiar faces as compared to faces of strangers. In both experiments we found an advantage for detection of personally familiar faces as compared to faces of strangers. Our data suggest that the identity of faces is processed with reduced attentional resources and even in the absence of awareness. Our results show that this facilitated processing of familiar faces cannot be attributed to detection of low-level visual features and that a learned unique configuration of facial features can influence preconscious perceptual processing. PMID:23805248

  9. Prioritized Detection of Personally Familiar Faces.

    Directory of Open Access Journals (Sweden)

    Maria Ida Gobbini

    Full Text Available We investigated whether personally familiar faces are preferentially processed in conditions of reduced attentional resources and in the absence of conscious awareness. In the first experiment, we used Rapid Serial Visual Presentation (RSVP to test the susceptibility of familiar faces and faces of strangers to the attentional blink. In the second experiment, we used continuous flash interocular suppression to render stimuli invisible and measured face detection time for personally familiar faces as compared to faces of strangers. In both experiments we found an advantage for detection of personally familiar faces as compared to faces of strangers. Our data suggest that the identity of faces is processed with reduced attentional resources and even in the absence of awareness. Our results show that this facilitated processing of familiar faces cannot be attributed to detection of low-level visual features and that a learned unique configuration of facial features can influence preconscious perceptual processing.

  10. 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 ...

  11. Face analysis using curve edge maps

    OpenAIRE

    Deboeverie, Francis; Veelaert, Peter; Philips, Wilfried

    2011-01-01

    This paper proposes an automatic and real-time system for face analysis, usable in visual communication applications. In this approach, faces are represented with Curve Edge Maps, which are collections of polynomial segments with a convex region. The segments are extracted from edge pixels using an adaptive incremental linear-time fitting algorithm, which is based on constructive polynomial fitting. The face analysis system considers face tracking, face recognition and facial feature detectio...

  12. Biological Sex Determines Whether Faces Look Real

    OpenAIRE

    Balas, Benjamin

    2013-01-01

    Judging whether a face is real or artificial can be done relatively rapidly and accurately, even when visual information is substantially impoverished. The perception of animacy in the face also has several interesting properties that may reflect both the underlying “tuning” of face space to preferentially represent real face appearance and the diagnosticity of individual features for categorizing faces as animate or inanimate. In the current study, we examined how sex categories interact wit...

  13. 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. PMID:27531986

  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. PMID:27531986

  15. Winning Faces Vary By Ideology

    DEFF Research Database (Denmark)

    Laustsen, Lasse; Petersen, Michael Bang

    2016-01-01

    Not just the content of a communication but also the source of the communication shapes its persuasiveness. Recent research in political communication suggests that important source cues are nonverbal and relate to the physical traits of the source such that attractive- and competent-looking sour......Not just the content of a communication but also the source of the communication shapes its persuasiveness. Recent research in political communication suggests that important source cues are nonverbal and relate to the physical traits of the source such that attractive- and competent...... 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 and...

  16. 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...

  17. Liveness Detection for Face Recognition

    OpenAIRE

    Pan, Gang; Wu, Zhaohui; Sun, Lin

    2008-01-01

    We investigate eyeblinks as a liveness detection clue against photo spoofing in face recognition. The advantages of eyeblink-based method are non-intrusion, no requirement of extra hardware. Undirected conditional graphical framework, which assumes dependencies among the observations and states, is employed to model eyeblink. A new-defined discriminative measure of eye states, called eye closity, can hasten inference as well as convey most effective discriminative information. Experiments dem...

  18. Face Detection using Swarm Intelligence

    OpenAIRE

    Lang, Andreas

    2011-01-01

    Groups of starlings can form impressive shapes as they travel northward together in the springtime. This is among a group of natural phenomena based on swarm behaviour. The research field of artificial intelligence in computer science, particularly the areas of robotics and image processing, has in recent decades given increasing attention to the underlying structures. The behaviour of these intelligent swarms has opened new approaches for face detection as well. G. Beni and J. Wa...

  19. Challenges Facing Entrepreneurship in Nigeria

    OpenAIRE

    Onyeka Uche Ofili

    2014-01-01

    Entrepreneurship is critical to the development of societies. Entrepreneurs however, cannot work in isolation; they need the right environment to thrive. The judicial system, the educational system, the financial system and generalgovernment policies should be such that encourage and promote entrepreneurship. Basic infrastructures such aspower, water, and transport systems are necessary to boost entrepreneurship. This paper looks at the challenges facing entrepreneurship in Nigeria and recomm...

  20. ITER plasma-facing components

    Energy Technology Data Exchange (ETDEWEB)

    Merola, Mario, E-mail: mario.merola@iter.or [ITER Organization, CS 90 046, 13067 St Paul-lez-Durance Cedex (France); Loesser, D. [Blanket Integrated Product Team, Plasma Physics Laboratory, Princeton University, Princeton, NJ 08543 (United States); Martin, A.; Chappuis, P.; Mitteau, R.; Komarov, V.; Pitts, R.A.; Gicquel, S.; Barabash, V.; Giancarli, L.; Palmer, J.; Nakahira, M.; Loarte, A.; Campbell, D.; Eaton, R.; Kukushkin, A.; Sugihara, M.; Zhang, F.; Kim, C.S.; Raffray, R. [ITER Organization, CS 90 046, 13067 St Paul-lez-Durance Cedex (France)

    2010-12-15

    The ITER plasma-facing components directly face the thermonuclear plasma and include the divertor, the blanket and the test blanket modules with their corresponding frames. The divertor is located at the bottom of the plasma chamber and is aimed at exhausting the major part of the plasma thermal power (including alpha power) and at minimising the helium and impurity content in the plasma. The blanket system provides a physical boundary for the plasma transients and contributes to the thermal and nuclear shielding of the vacuum vessel and external machine components. It consists of modular shielding elements known as blanket modules which are attached to the vacuum vessel. Each blanket module consists of two major components: a plasma-facing first wall panel and a shield block. The test blanket modules are mock-ups of DEMO breeding blankets. There are three ITER equatorial ports devoted to test blanket modules, each of them providing for the allocation of two breeding modules inserted in a steel frame and in front of a shield block.

  1. ITER plasma-facing components

    International Nuclear Information System (INIS)

    The ITER plasma-facing components directly face the thermonuclear plasma and include the divertor, the blanket and the test blanket modules with their corresponding frames. The divertor is located at the bottom of the plasma chamber and is aimed at exhausting the major part of the plasma thermal power (including alpha power) and at minimising the helium and impurity content in the plasma. The blanket system provides a physical boundary for the plasma transients and contributes to the thermal and nuclear shielding of the vacuum vessel and external machine components. It consists of modular shielding elements known as blanket modules which are attached to the vacuum vessel. Each blanket module consists of two major components: a plasma-facing first wall panel and a shield block. The test blanket modules are mock-ups of DEMO breeding blankets. There are three ITER equatorial ports devoted to test blanket modules, each of them providing for the allocation of two breeding modules inserted in a steel frame and in front of a shield block.

  2. 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.

  3. 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. PMID:25405782

  4. Advanced Face Gear Surface Durability Evaluations

    Science.gov (United States)

    Lewicki, David G.; Heath, Gregory F.

    2016-01-01

    The surface durability life of helical face gears and isotropic super-finished (ISF) face gears was investigated. Experimental fatigue tests were performed at the NASA Glenn Research Center. Endurance tests were performed on 10 sets of helical face gears in mesh with tapered involute helical pinions, and 10 sets of ISF-enhanced straight face gears in mesh with tapered involute spur pinions. The results were compared to previous tests on straight face gears. The life of the ISF configuration was slightly less than that of previous tests on straight face gears. The life of the ISF configuration was slightly greater than that of the helical configuration.

  5. One's Own Face Is Hard to Ignore

    OpenAIRE

    Brédart, Serge; Delchambre, Marie; Laureys, Steven

    2006-01-01

    One's own face possesses two properties that make it prone to grab attention: It is a face, and, in addition, it is a self-referential stimulus. The question of whether the self-face is actually an especially attention-grabbing stimulus was addressed by using a face-name interference paradigm. We investigated whether interference from a flanking self-face on the processing of a target classmate's name was stronger than interference from a classmate's flanking face on the processing of one's o...

  6. Robust Face Detection using Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Saifuddin Md. Tareeq

    2007-01-01

    Full Text Available This research presents a robust and precise scheme for detecting faces and locating the facial features in images with complex backgrounds using genetic algorithm. The system is based on visual information of the face from the template image and is commenced with the estimation of the face area in a given image. Facial features, such as eyes, nose, mouth, eyebrow, etc. are then localized from face skeleton with the knowledge of the face geometry. Experimental results demonstrate that this face detector provides successful results for the images of individuals which contain quite a high degree of variability in expression, pose and facial details.

  7. The role of gender in face recognition

    OpenAIRE

    Rehnman, Jenny

    2007-01-01

    Faces constitute one of the most important stimuli for humans. Studies show that women recognize more faces than men, and that females are particularly able to recognize female faces, thus exhibiting an own-sex bias. In the present thesis, three empirical studies investigated the generality of sex differences in face recognition and the female own-sex bias. Study I explored men’s and women’s face recognition performance for Bangladeshi and Swedish female and male faces of adults and children....

  8. Social interest and the development of cortical face specialization: what autism teaches us about face processing.

    Science.gov (United States)

    Grelotti, David J; Gauthier, Isabel; Schultz, Robert T

    2002-04-01

    Investigations of face processing in persons with an autism spectrum disorder (ASD) inform upon theories of the development of "normal" face processing, and the story that emerges challenges some models of the nature and origin of cortical face specialization. Individuals with an ASD possess deficits in face processing and a lack of a fusiform face area (FFA). Evidence from studies of ASD can be conceptualized best using an expertise framework of face processing rather than models that postulate a face module in the fusiform gyrus. Because persons with an ASD have reduced social interest, they may fail to develop cortical face specialization. Face specialization may develop in normal individuals because they are socially motivated to regard the face, and such motivation promotes expertise for faces. The amygdala is likely the key node in the system that marks objects as emotionally salient and could be crucial to the development of cortical face specialization. PMID:11891634

  9. 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. PMID:26804362

  10. Faciotopy-A face-feature map with face-like topology in the human occipital face area.

    Science.gov (United States)

    Henriksson, Linda; Mur, Marieke; Kriegeskorte, Nikolaus

    2015-11-01

    The occipital face area (OFA) and fusiform face area (FFA) are brain regions thought to be specialized for face perception. However, their intrinsic functional organization and status as cortical areas with well-defined boundaries remains unclear. Here we test these regions for "faciotopy", a particular hypothesis about their intrinsic functional organisation. A faciotopic area would contain a face-feature map on the cortical surface, where cortical patches represent face features and neighbouring patches represent features that are physically neighbouring in a face. The faciotopy hypothesis is motivated by the idea that face regions might develop from a retinotopic protomap and acquire their selectivity for face features through natural visual experience. Faces have a prototypical configuration of features, are usually perceived in a canonical upright orientation, and are frequently fixated in particular locations. To test the faciotopy hypothesis, we presented images of isolated face features at fixation to subjects during functional magnetic resonance imaging. The responses in V1 were best explained by low-level image properties of the stimuli. OFA, and to a lesser degree FFA, showed evidence for faciotopic organization. When a single patch of cortex was estimated for each face feature, the cortical distances between the feature patches reflected the physical distance between the features in a face. Faciotopy would be the first example, to our knowledge, of a cortical map reflecting the topology, not of a part of the organism itself (its retina in retinotopy, its body in somatotopy), but of an external object of particular perceptual significance. PMID:26235800

  11. NEW FACE WITH PERFECT REPUTATION

    OpenAIRE

    Михаельс, Катрин

    2015-01-01

    The history of creation and development of worldwide well-known company «Air products» is stated. At present time the company is not only large-scale producer of air separation plants (cryogenic, with process of pressure swing adsorption, membrane), also producer of large quantity of industrial gases (oxygen, nitrogen, argon and others). Company “Air products” during opening up the market of Eastern Europe, Russia and Ukraine, appears before potential buyer as company with new face and perfec...

  12. Grand Challenges facing Storage Systems

    CERN Document Server

    CERN. Geneva

    2004-01-01

    In this talk, we will discuss the future of storage systems. In particular, we will focus on several big challenges which we are facing in storage, such as being able to build, manage and backup really massive storage systems, being able to find information of interest, being able to do long-term archival of data, and so on. We also present ideas and research being done to address these challenges, and provide a perspective on how we expect these challenges to be resolved as we go forward.

  13. Face Recognition using Gabor Filters

    Directory of Open Access Journals (Sweden)

    Sajjad MOHSIN

    2011-01-01

    Full Text Available An Elastic Bunch Graph Map (EBGM algorithm is being proposed in this research paper that successfully implements face recognition using Gabor filters. The proposed system applies 40 different Gabor filters on an image. As aresult of which 40 images with different angles and orientation are received. Next, maximum intensity points in each filtered image are calculated and mark them as Fiducial points. The system reduces these points in accordance to distance between them. The next step is calculating the distances between the reduced points using distance formula. At last, the distances are compared with database. If match occurs, it means that the image is recognized.

  14. 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.

  15. 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, ...

  16. 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...

  17. Face liveness detection using dynamic texture

    OpenAIRE

    de Freitas Pereira, Tiago; Komulainen, Jukka; Anjos, André; De Martino, José Mario; Hadid, Abdenour; Pietikainen, Matti; Marcel, Sébastien

    2014-01-01

    User authentication is an important step to protect information, and in this context, face biometrics is potentially advantageous. Face biometrics is natural, intuitive, easy to use, and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using cheap low-tech equipment. This paper introduces a novel and appealing approach to detect face spoofing using the spatiotemporal (dynamic texture) extensions of the highly popular local bin...

  18. A Comparative View of Face Perception

    OpenAIRE

    Leopold, David A.; Rhodes, Gillian

    2010-01-01

    Face perception serves as the basis for much of human social exchange. Diverse information can be extracted about an individual from a single glance at their face, including their identity, emotional state, and direction of attention. Neuropsychological and fMRI experiments reveal a complex network of specialized areas in the human brain supporting these face-reading skills. Here we consider the evolutionary roots of human face perception by exploring the manner in which different animal spec...

  19. 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...

  20. 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.

  1. Face Recognition Incorporating Ancillary Information

    Directory of Open Access Journals (Sweden)

    Sangyoun Lee

    2007-11-01

    Full Text Available Due to vast variations of extrinsic and intrinsic imaging conditions, face recognition remained to be a challenging computer vision problem even today. This is particularly true when the passive imaging approach is considered for robust applications. To advance existing recognition systems for face, numerous techniques and methods have been proposed to overcome the almost inevitable performance degradation due to external factors such as pose, expression, occlusion, and illumination. In particular, the recent part-based method has provided noticeable room for verification performance improvement based on the localized features which have good tolerance to variation of external conditions. The part-based method, however, does not really stretch the performance without incorporation of global information from the holistic method. In view of the need to fuse the local information and the global information in an adaptive manner for reliable recognition, in this paper we investigate whether such external factors can be explicitly estimated and be used to boost the verification performance during fusion of the holistic and part-based methods. Our empirical evaluations show noticeable performance improvement adopting the proposed method.

  2. Visual Search for Faces with Emotional Expressions

    Science.gov (United States)

    Frischen, Alexandra; Eastwood, John D.; Smilek, Daniel

    2008-01-01

    The goal of this review is to critically examine contradictory findings in the study of visual search for emotionally expressive faces. Several key issues are addressed: Can emotional faces be processed preattentively and guide attention? What properties of these faces influence search efficiency? Is search moderated by the emotional state of the…

  3. Integral Face Shield Concept for Firefighter's Helmet

    Science.gov (United States)

    Abeles, F.; Hansberry, E.; Himel, V.

    1982-01-01

    Stowable face shield could be made integral part of helmet worn by firefighters. Shield, made from same tough clear plastic as removable face shields presently used, would be pivoted at temples to slide up inside helmet when not needed. Stowable face shield, being stored in helmet, is always available, ready for use, and is protected when not being used.

  4. Face identification in videos from mobile cameras

    NARCIS (Netherlands)

    Mu, Meiru; Spreeuwers, Luuk; Veldhuis, Raymond

    2014-01-01

    It is still challenging to recognize faces reliably in videos from mobile camera, although mature automatic face recognition technology for still images has been available for quite some time. Suppose we want to be alerted when suspects appear in the recording of a police Body-Cam, even a good face

  5. The shape of the face template: geometric distortions of faces and their detection in natural scenes.

    Science.gov (United States)

    Pongakkasira, Kaewmart; Bindemann, Markus

    2015-04-01

    Human face detection might be driven by skin-coloured face-shaped templates. To explore this idea, this study compared the detection of faces for which the natural height-to-width ratios were preserved with distorted faces that were stretched vertically or horizontally. The impact of stretching on detection performance was not obvious when faces were equated to their unstretched counterparts in terms of their height or width dimension (Experiment 1). However, stretching impaired detection when the original and distorted faces were matched for their surface area (Experiment 2), and this was found with both vertically and horizontally stretched faces (Experiment 3). This effect was evident in accuracy, response times, and also observers' eye movements to faces. These findings demonstrate that height-to-width ratios are an important component of the cognitive template for face detection. The results also highlight important differences between face detection and face recognition. PMID:25727491

  6. 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. PMID:25628344

  7. 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.

  8. Attention Modifies Gender Differences in Face Recognition

    OpenAIRE

    Lovén, Johanna

    2007-01-01

    Gender differences favoring women have been found in face recognition, and in addition to this, it has been shown that women remember more female than male faces. This own-gender effect may be a result of women directing more attention towards female faces, resulting in a better memory. The aim of this study was to assess the role of attention for gender differences in face recognition and women’s own-gender bias by dividing attention at encoding of faces. Thirty-two participants completed tw...

  9. Masked fake face detection using radiance measurements.

    Science.gov (United States)

    Kim, Youngshin; Na, Jaekeun; Yoon, Seongbeak; Yi, Juneho

    2009-04-01

    This research presents a novel 2D feature space where real faces and masked fake faces can be effectively discriminated. We exploit the reflectance disparity based on albedo between real faces and fake materials. The feature vector used consists of radiance measurements of the forehead region under 850 and 685 nm illuminations. Facial skin and mask material show linearly separable distributions in the feature space proposed. By simply applying Fisher's linear discriminant, we have achieved 97.78% accuracy in fake face detection. Our method can be easily implemented in commercial face verification systems. PMID:19340250

  10. FaceTime. Muototutkielma empatiasta.

    OpenAIRE

    Talja, Aliisa

    2016-01-01

    FaceTime. Muototutkielma empatiasta on taiteen kandidaatin opinnäytetyö, jossa käsitellään kahden ihmisen välisessä vuorovaikutuksessa syntyvää empatiaa muotoilun ja kokemuksellisuuden näkökulmista. Työn kirjallisessa osiossa eritellään produktiivisen osan keskeisiä teemoja, kontekstia ja referenssejä sekä esitellään lopullinen teos sen syntyprosessin ja teoskuvauksen avulla. Työn alussa määritellään, mitä empatia on, miten se ilmenee ja miksi siitä pitäisi olla tietoisempi. Lähdeaineisto...

  11. The Six Faces of Transparency

    Directory of Open Access Journals (Sweden)

    Anoeska Buijze

    2013-07-01

    Full Text Available The principle of transparency is something of an oddity in EU law. Indeed, some doubt that there is one general principle of transparency. The importance of transparency within the EU can be established beyond a doubt, and it is prevalent in numerous fields of EU law, but the obligations that are derived therefrom vary wildly. This makes it hard to get a good grasp of what the principle requires. It is possible to bring some system into this chaos, though. The author identifies two mechanisms by which transparency brings about the many positive consequences that have been attributed to it and combines them with the normative frameworks that guide the relation between public authorities and EU citizens into six categories of transparency obligations. Each of these categories has a distinct goal, and suggests a different answer to the questions one is faced with when confronted with a demand to be ‘transparent.’

  12. Evaluating face trustworthiness: a model based approach

    Science.gov (United States)

    Baron, Sean G.; Oosterhof, Nikolaas N.

    2008-01-01

    Judgments of trustworthiness from faces determine basic approach/avoidance responses and approximate the valence evaluation of faces that runs across multiple person judgments. Here, based on trustworthiness judgments and using a computer model for face representation, we built a model for representing face trustworthiness (study 1). Using this model, we generated novel faces with an increased range of trustworthiness and used these faces as stimuli in a functional Magnetic Resonance Imaging study (study 2). Although participants did not engage in explicit evaluation of the faces, the amygdala response changed as a function of face trustworthiness. An area in the right amygdala showed a negative linear response—as the untrustworthiness of faces increased so did the amygdala response. Areas in the left and right putamen, the latter area extended into the anterior insula, showed a similar negative linear response. The response in the left amygdala was quadratic—strongest for faces on both extremes of the trustworthiness dimension. The medial prefrontal cortex and precuneus also showed a quadratic response, but their response was strongest to faces in the middle range of the trustworthiness dimension. PMID:19015102

  13. 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...

  14. 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.

  15. 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.

  16. The complex duration perception of emotional faces: Effects of face direction

    Directory of Open Access Journals (Sweden)

    Katrin Martina Kliegl

    2015-03-01

    Full Text Available The perceived duration of emotional face stimuli strongly depends on the expressed emotion. But, emotional faces also differ regarding a number of other features like gaze, face direction, or sex. Usually, these features have been controlled by only using pictures of female models with straight gaze and face direction. Doi and Shinohara (2009 reported that an overestimation of angry faces could only be found when the model’s gaze was oriented towards the observer. We aimed at replicating this effect for face direction. Moreover, we explored the effect of face direction on the duration perception sad faces. Controlling for the sex of the face model and the participant, female and male participants rated the duration of neutral, angry and sad face stimuli of both sexes photographed from different perspectives in a bisection task. In line with current findings, we report a significant overestimation of angry compared to neutral face stimuli that was modulated by face direction. Moreover, the perceived duration of sad face stimuli did not differ from that of neutral faces and was not influenced by face direction. Furthermore, we found that faces of the opposite sex appeared to last longer than those of the same sex. This outcome is discussed with regards to stimulus parameters like the induced arousal, social relevance and an evolutionary context.

  17. A Comparison of Face-to-Face and Groupware Meeting Approaches on a Collaborative Writing Project.

    Science.gov (United States)

    Perreault, Heidi R.; Moses, Duane R.

    1992-01-01

    Twelve groups of business students met face to face to complete a report; 10 groups used groupware (computerized decision support system). Overall report quality did not differ, although groupware users needed more time. Appearance and appropriate format were rated higher for the face-to-face group, and students found this method easier, faster,…

  18. 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…

  19. 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.

  20. "No Significant Distance" between Face-to-Face and Online Instruction: Evidence from Principles of Economics

    Science.gov (United States)

    Coates, Dennis; Humphreys, Brad, R.; Kane, John; Vachris, Michelle, A.

    2004-01-01

    This paper describes an experiment focused on measuring and explaining differences in students learning between online and face-to-face modes of instruction in college level principles of economics courses. Our results indicate that students in face-to-face sections scored better on the Test of Understanding College Economics (TUCE) than students…

  1. 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…

  2. The Development of Infant Social Expectations in Face-to-Face Interaction: A Longitudinal Study.

    Science.gov (United States)

    Lamb, Michael E.; And Others

    1987-01-01

    Thirty first-born infants were filmed in face-to-face interaction with their mothers and unfamiliar adults each month between 1 and 7 months of age. Adults interacted both playfully and unresponsively. Developmental trends, differential responsiveness to mothers and strangers, and social expectations in face-to-face interaction were explored.…

  3. Neonatal face-to-face interactions promote later social behaviour in infant rhesus monkeys

    Science.gov (United States)

    Dettmer, Amanda M.; Kaburu, Stefano S. K.; Simpson, Elizabeth A.; Paukner, Annika; Sclafani, Valentina; Byers, Kristen L.; Murphy, Ashley M.; Miller, Michelle; Marquez, Neal; Miller, Grace M.; Suomi, Stephen J.; Ferrari, Pier F.

    2016-01-01

    In primates, including humans, mothers engage in face-to-face interactions with their infants, with frequencies varying both within and across species. However, the impact of this variation in face-to-face interactions on infant social development is unclear. Here we report that infant monkeys (Macaca mulatta) who engaged in more neonatal face-to-face interactions with mothers have increased social interactions at 2 and 5 months. In a controlled experiment, we show that this effect is not due to physical contact alone: monkeys randomly assigned to receive additional neonatal face-to-face interactions (mutual gaze and intermittent lip-smacking) with human caregivers display increased social interest at 2 months, compared with monkeys who received only additional handling. These studies suggest that face-to-face interactions from birth promote young primate social interest and competency. PMID:27300086

  4. Stability of Crystal Growth Face and Dissolution Face in Crystallization from Solution under Microgravity

    Institute of Scientific and Technical Information of China (English)

    ZHU Zhen-He; LUO Lin; LI Chao-Rong; GE Pei-Wen

    2002-01-01

    The stability of the shapes of crystal growth face and dissolution face in a two-dimensional mathematical model of crystal growth from solution under microgravity is studied. It is proved that the stable shapes of crystal growth face and dissolution face do exist, which are suitably shaped curves with their upper parts inclined backward properly.The stable shapes of crystal growth faces and dissolution faces are calculated for various values of parameters, Ra, Pr and Sc. It is shown that the stronger the convection relative to the diffusion in solution is, the more backward the upperparts of the stable crystal growth face and dissolution face are inclined. The orientation and the shape of dissolution face hardly affect the stable shape of crystal growth face and vice versa.

  5. Facebook and MySpace: complement or substitute for face-to-face interaction?

    Science.gov (United States)

    Kujath, Carlyne L

    2011-01-01

    Previous studies have claimed that social-networking sites are used as a substitute for face-to-face interaction, resulting in deteriorating relationship quality and decreased intimacy among its users. The present study hypothesized that this type of communication is not a substitute for face-to-face interaction; rather, that it is an extension of communication with face-to-face partners. A survey was administered to examine the use of Facebook and MySpace in this regard among 183 college students. The study confirmed that Facebook and MySpace do act as an extension of face-to-face interaction, but that some users do tend to rely on Facebook and MySpace for interpersonal communication more than face-to-face interaction. PMID:21329446

  6. The complex duration perception of emotional faces: effects of face direction

    OpenAIRE

    Kliegl, Katrin M.; Limbrecht-Ecklundt, Kerstin; Dürr, Lea; Traue, Harald C.; Huckauf, Anke

    2015-01-01

    The perceived duration of emotional face stimuli strongly depends on the expressed emotion. But, emotional faces also differ regarding a number of other features like gaze, face direction, or sex. Usually, these features have been controlled by only using pictures of female models with straight gaze and face direction. Doi and Shinohara (2009) reported that an overestimation of angry faces could only be found when the model’s gaze was oriented toward the observer. We aimed at replicating this...

  7. Neural substrates of species-dependent visual processing of faces: use of morphed faces

    OpenAIRE

    Yamada, Emi; Ogata, Katsuya; Kishimoto, Junji; Tanaka, Mutsuhide; Urakawa, Tomokazu; Yamasaki, Takao; Tobimatsu, Shozo

    2015-01-01

    Face identification and categorization are essential for social communication. The N170 event-related potential (ERP) is considered to be a biomarker of face perception. To elucidate the neural basis of species-dependent face processing, we recorded 128-ch high-density ERPs in 14 healthy adults while they viewed the images of morphed faces. The morphed stimuli contained different proportions of human and monkey faces, and the species boundary was shifted away from the center of the morph cont...

  8. Face gender modulates women’s brain activity during face encoding

    OpenAIRE

    Lovén, Johanna; Svärd, Joakim; Natalie C Ebner; Herlitz, Agneta; Fischer, Håkan

    2013-01-01

    Women typically remember more female than male faces, whereas men do not show a reliable own-gender bias. However, little is known about the neural correlates of this own-gender bias in face recognition memory. Using functional magnetic resonance imaging (fMRI), we investigated whether face gender modulated brain activity in fusiform and inferior occipital gyri during incidental encoding of faces. Fifteen women and 14 men underwent fMRI while passively viewing female and male faces, followed ...

  9. Model-based reconstruction for illumination variation in face images

    OpenAIRE

    B. J. Boom; L. J. Spreeuwers; Veldhuis, R.N.J.

    2008-01-01

    We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which allows us to estimate the face shape in the face image. Using this face shape, we can reconstruct a face image under frontal illumination. These reconstructed images improve the results in face iden...

  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. Face-to-face or face-to-screen? Undergraduates' opinions and test performance in classroom vs. online learning.

    Science.gov (United States)

    Kemp, Nenagh; Grieve, Rachel

    2014-01-01

    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 vs. in traditional classrooms. Psychology students (N = 67) 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 (N = 37) 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. PMID:25429276

  12. 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.

  13. 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.

  14. Face Recognition Techniques - An evaluation Study

    Directory of Open Access Journals (Sweden)

    Dr.Asmahan M Altaher

    2015-01-01

    Full Text Available Face recognition is the ability of categorize a set of images based on certain discriminatory features. Classification of the recognition patterns can be difficult problem and it is still very active field of research. The paper introduces conceptual framework for descriptive study on techniques of face recognition systems. It aims to describe the previous researches have been study the face recognition system, in order scope on the algorithms, usages, benefits , challenges and problems in this felids, the paper proposed the face recognition as sensitive learning task experiments on a large face databases demonstrate of the new feature. The researcher recommends that there's a needs to evaluate the previous studies and researches, especially on face recognition field and 3D, hopeful for advanced techniques and methods in the near future.

  15. 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.

  16. 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.

  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. Face identity matching is influenced by emotions conveyed by face and body

    Directory of Open Access Journals (Sweden)

    Jan eVan Den Stock

    2014-02-01

    Full Text Available Faces provide information about multiple characteristics like personal identity and emotion. Classical models of face perception postulate separate sub-systems for identity and expression recognition but recent studies have documented emotional contextual influences on recognition of faces. The present study reports three experiments where participants were presented realistic face-body compounds in a 2 category (face and body x 2 emotion (neutral and fearful factorial design. The task always consisted of two-alternative forced choice facial identity matching. The results show that during simultaneous face identity matching, the task irrelevant bodily expressions influence processing of facial identity, under conditions of unlimited viewing (Experiment 1 as well as during brief (750ms presentation (Experiment 2. In addition, delayed (5000ms face identity matching of rapidly (150ms presented face-body compounds, was equally influenced by the body expression (Experiment 3. The results indicate that face identity perception mechanisms interact with processing of bodily and facial expressions.

  19. Modeling plasma facing materials for fusion power

    OpenAIRE

    Duffy, D.M.

    2009-01-01

    Plasma facing materials, the materials that line the vacuum vessel, experience particularly hostile conditions as they are subjected to high particle and neutron flux and high heat loads. Plasma facing materials must have high thermal conductivity for efficient heat transport, high cohesive energy for low erosion by particle bombardment and low atomic number to minimize plasma cooling. These contradictory requirements make the development of plasma facing materials one of the greatest challen...

  20. Face Recognition Techniques - An evaluation Study

    OpenAIRE

    Dr.Asmahan M Altaher

    2015-01-01

    Face recognition is the ability of categorize a set of images based on certain discriminatory features. Classification of the recognition patterns can be difficult problem and it is still very active field of research. The paper introduces conceptual framework for descriptive study on techniques of face recognition systems. It aims to describe the previous researches have been study the face recognition system, in order scope on the algorithms, usages, benefits , challenges and problems in th...

  1. Face Detection with a 3D Model

    OpenAIRE

    Barbu, Adrian; Lay, Nathan; Gramajo, Gary

    2014-01-01

    This paper presents a part-based face detection approach where the spatial relationship between the face parts is represented by a hidden 3D model with six parameters. The computational complexity of the search in the six dimensional pose space is addressed by proposing meaningful 3D pose candidates by image-based regression from detected face keypoint locations. The 3D pose candidates are evaluated using a parameter sensitive classifier based on difference features relative to the 3D pose. A...

  2. 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.

  3. Enhanced Asymmetric Bilinear Model for Face Recognition

    OpenAIRE

    Wenjuan Gong; Weishan Zhang; Jordi Gonzàlez; Yan Ren; Zhen Li

    2015-01-01

    Bilinear models have been successfully applied to separate two factors, for example, pose variances and different identities in face recognition problems. Asymmetric model is a type of bilinear model which models a system in the most concise way. But seldom there are works exploring the applications of asymmetric bilinear model on face recognition problem with illumination changes. In this work, we propose enhanced asymmetric model for illumination-robust face recognition. Instead of initiali...

  4. Learning Social Relation Traits from Face Images

    OpenAIRE

    Zhang, Zhanpeng; Luo, Ping; Loy, Chen Change; Tang, Xiaoou

    2015-01-01

    Social relation defines the association, e.g, warm, friendliness, and dominance, between two or more people. Motivated by psychological studies, we investigate if such fine-grained and high-level relation traits can be characterised and quantified from face images in the wild. To address this challenging problem we propose a deep model that learns a rich face representation to capture gender, expression, head pose, and age-related attributes, and then performs pairwise-face reasoning for rela...

  5. Geometric Feature Based Face-Sketch Recognition

    OpenAIRE

    Pramanik, Sourav; Bhattacharjee, Debotosh

    2013-01-01

    This paper presents a novel facial sketch image or face-sketch recognition approach based on facial feature extraction. To recognize a face-sketch, we have concentrated on a set of geometric face features like eyes, nose, eyebrows, lips, etc and their length and width ratio because it is difficult to match photos and sketches because they belong to two different modalities. In this system, first the facial features/components from training images are extracted, then ratios of length, width, a...

  6. Face monoid actions and tropical hyperplane arrangements

    OpenAIRE

    Johnson, Marianne; Kambites, Mark

    2016-01-01

    We study the combinatorics of tropical hyperplane arrangements, and their relationship to (classical) hyperplane face monoids. We show that the refinement operation on the faces of a tropical hyperplane arrangement, introduced by Ardila and Develin in their definition of a tropical oriented matroid, induces an action of the hyperplane face monoid of the classical braid arrangement on the arrangement, and hence on a number of interesting related structures. Along the way, we introduce a new ch...

  7. Data driven analysis of faces from images

    OpenAIRE

    Scherbaum, Kristina

    2013-01-01

    This thesis proposes three new data-driven approaches to detect, analyze, or modify faces in images. All presented contributions are inspired by the use of prior knowledge and they derive information about facial appearances from pre-collected databases of images or 3D face models. First, we contribute an approach that extends a widely-used monocular face detector by an additional classifier that evaluates disparity maps of a passive stereo camera. The algorithm runs in real-time and signific...

  8. Face recognition in controlled access points

    OpenAIRE

    Mur Escartín, Olga

    2009-01-01

    The thesis consist in the study and evaluation of different methods for face recognition. The final objective is to select the most suitable techniques for face detection and recognition. Some of these techniques will be intergrated in a real time demontrator which will be a preliminary prototype that will have to work in controlled conditions (for ilumination and pose) and with reduced databases. The demonstrator will be done in Matlab and the main image acquisition rotines and face detectio...

  9. Cortical 3D Face Recognition Framework

    OpenAIRE

    J.M.F. Rodrigues; Lam, Roberto Célio Lau; du Buf, J. M. H.

    2011-01-01

    Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. In cortical area V1 exist double-opponent colour blobs, also simple, complex and end-stopped cells which provide input for a multiscale line/edge representation, keypoints for dynamic routing and saliency maps for Focus-of-Attention. All these combined allow us to segregate faces. Events of different facial views are stored in memory and combined in order to identify th...

  10. 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.

  11. Fusing Facial Features for Face Recognition

    OpenAIRE

    Jamal Ahmad Dargham; Ali Chekima; Ervin Gubin Moung

    2012-01-01

    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 ...

  12. FACE RECOGNITION BASED ON CUCKOO SEARCH ALGORITHM

    OpenAIRE

    VIPINKUMAR TIWARI

    2012-01-01

    Feature Selection is a optimization technique used in face recognition technology. Feature selection removes the irrelevant, noisy and redundant data thus leading to the more accurate recognition of face from the database.Cuckko Algorithm is one of the recent optimization algorithm in the league of nature based algorithm. Its optimization results are better than the PSO and ACO optimization algorithms. The proposal of applying the Cuckoo algorithm for feature selection in the process of face ...

  13. 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.

  14. 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.

  15. 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.

  16. Repetition effects in human ERPs to faces.

    Science.gov (United States)

    Schweinberger, Stefan R; Neumann, Markus F

    2016-07-01

    In the present paper, we review research conducted over the past 25 years addressing the effects of repeating various kinds of information in faces (e.g., pictorial, spatial configural, identity, semantic) on different components in human event-related brain potentials (ERPs). This body of evidence suggests that several ERP components are systematically linked to different functional components of face identity processing. Specifically, we argue (1) that repetition of the category of faces (categorical adaptation) strongly affects the occipitotemporal N170 amplitude, which is systematically suppressed when a face is preceded by another face, irrespective of its identity, whereas (2) the prototypicality of a face's second order spatial configuration has a prominent effect on the subsequent occipitotemporal P200. Longer-latency repetition effects are related to the processing of individual facial identities. These include (3) an ERP correlate of the transient activation of individual representations of repeated faces in the form of an enhanced occipitotemporal N250r as seen in repetition priming experiments, and (4) a correlate of the acquisition of individual face identity representations during learning as seen in a topographically similar long-lasting N250 effect. Finally, (5) the repetition of semantic information in familiar person recognition elicits a central-parietal N400 ERP effect. We hope that this overview will encourage researchers to further exploit the potential of ERPs to provide a continuous time window to neuronal correlates of multiple processes in face perception under comparatively natural viewing conditions. PMID:26672902

  17. 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.

  18. Eye movements during emotion recognition in faces.

    Science.gov (United States)

    Schurgin, M W; Nelson, J; Iida, S; Ohira, H; Chiao, J Y; Franconeri, S L

    2014-01-01

    When distinguishing whether a face displays a certain emotion, some regions of the face may contain more useful information than others. Here we ask whether people differentially attend to distinct regions of a face when judging different emotions. Experiment 1 measured eye movements while participants discriminated between emotional (joy, anger, fear, sadness, shame, and disgust) and neutral facial expressions. Participant eye movements primarily fell in five distinct regions (eyes, upper nose, lower nose, upper lip, nasion). Distinct fixation patterns emerged for each emotion, such as a focus on the lips for joyful faces and a focus on the eyes for sad faces. These patterns were strongest for emotional faces but were still present when viewers sought evidence of emotion within neutral faces, indicating a goal-driven influence on eye-gaze patterns. Experiment 2 verified that these fixation patterns tended to reflect attention to the most diagnostic regions of the face for each emotion. Eye movements appear to follow both stimulus-driven and goal-driven perceptual strategies when decoding emotional information from a face. PMID:25406159

  19. Face transplantation: a leading surgeon's perspective.

    Science.gov (United States)

    Siemionow, M

    2011-10-01

    Twenty years of experience in the field of vascularized composite allografts (VCA) leading to the first US face transplantation is presented. Different experimental models and cadaveric studies in the VCA models are outlined. Development of face transplantation protocol and consent forms for Institutional Review Board approval is discussed. Different scientific, regulatory, and financial considerations that were required before approval of face transplantation are presented. The effort, importance, and role of multidisciplinary team approach are emphasized. Finally, the technical aspects of face transplantation and related immunologic and functional outcomes of the patients are discussed. PMID:21996172

  20. 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

  1. Fast skin color detector for face extraction

    Science.gov (United States)

    Chen, Lihui; Grecos, Christos

    2005-02-01

    Face detection is the first step for an automatic face recognition system. For color images, skin color filter is considered as an important method for removing non-face pixels. In the paper, we will propose a novel and efficient detector for skin color regions for face extraction. The detector processes the image in four steps: lighting compensation, skin color filter and mask refinement and fast patch identification. Experimental results show that our detector is more robust and efficient than other skin color filters.

  2. Face Recognition Using Simplified Fuzzy Artmap

    Directory of Open Access Journals (Sweden)

    Antu Annam Thomas

    2011-02-01

    Full Text Available Face recognition has become one of the most active research areas of pattern recognition since the early1990s. This project thesis proposes a novel face recognition method based on Simplified Fuzzy ARTMAP(SFAM. For extracting features to be used for classification, combination of Principal ComponentAnalysis (PCA and Linear Discriminant Analysis (LDA is used. This is for improving the capability ofLDA and PCA when used alone.PCA reduces the dimensionality of input face images while LDA extractsthe features that help the classifier to classify the input face images. The classifier employed was SFAM.Experiment is conducted on ORL, Yale and Indian Face Database and results demonstrate SFAM’sefficiency as a recognizer. The training time of SFAM is negligible. SFAM has the added advantage thatthe network is adaptive, that is, during testing phase if the network comes across a new face that it is nottrained for; the network identifies this to be a new face and also learns this new face. Thus SFAM can beused in applications where database needs to be updated frequently. SFAM thus proves itself to be anefficient recognizer when a speedy, accurate and adaptive Face Recognition System is required.

  3. Talents and Innovative Regions: exploring the Importance of Face-to-Face Communication and Buzz

    OpenAIRE

    Asheim, Bjørn; Vang, Jan

    2005-01-01

    This paper argues that face-to-face communication and buzz are becoming increasingly important in the regionalizing le arning economy. This reflects the importance of inn ovations as a means of enhancing regional competitiveness. While concurring with the new streams of literature in geography highlighting the importance of face-to-face and buzz, it is argued that this lite rature is misleading on three interrelated accounts. Firstly, it conflates face-to-face and buzz by e.g. looking at buzz...

  4. Face shape and face identity processing in behavioral variant fronto-temporal dementia: A specific deficit for familiarity and name recognition of famous faces

    OpenAIRE

    François-Laurent De Winter; Dorien Timmers; Beatrice de Gelder; Marc Van Orshoven; Marleen Vieren; Miriam Bouckaert; Gert Cypers; Jo Caekebeke; Laura Van de Vliet; Karolien Goffin; Koen Van Laere; Stefan Sunaert; Rik Vandenberghe; Mathieu Vandenbulcke; Jan Van den Stock

    2016-01-01

    Deficits in face processing have been described in the behavioral variant of fronto-temporal dementia (bvFTD), primarily regarding the recognition of facial expressions. Less is known about face shape and face identity processing. Here we used a hierarchical strategy targeting face shape and face identity recognition in bvFTD and matched healthy controls. Participants performed 3 psychophysical experiments targeting face shape detection (Experiment 1), unfamiliar face identity matching (Exper...

  5. Integration of faces and voices, but not faces and names, in person recognition.

    Science.gov (United States)

    O'Mahony, Christiane; Newell, Fiona N

    2012-02-01

    Recent studies on cross-modal recognition suggest that face and voice information are linked for the purpose of person identification. We tested whether congruent associations between familiarized faces and voices facilitated subsequent person recognition relative to incongruent associations. Furthermore, we investigated whether congruent face and name associations would similarly benefit person identification relative to incongruent face and name associations. Participants were familiarized with a set of talking video-images of actors, their names, and their voices. They were then tested on their recognition of either the face, voice, or name of each actor from bimodal stimuli which were either congruent or novel (incongruent) associations between the familiarized face and voice or face and name. We found that response times to familiarity decisions based on congruent face and voice stimuli were facilitated relative to incongruent associations. In contrast, we failed to find a benefit for congruent face and name pairs. Our findings suggest that faces and voices, but not faces and names, are integrated in memory for the purpose of person recognition. These findings have important implications for current models of face perception and support growing evidence for multisensory effects in face perception areas of the brain for the purpose of person recognition. PMID:22229775

  6. 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.

  7. 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 rel...

  8. 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...

  9. Levinas, Ethics, Pedagogy, and the Face

    Science.gov (United States)

    Carriere, Peter M.

    2007-01-01

    Emmanuel Levinas is one of those thinkers whose ideas about ethics and morality have something to say about teaching. Concerned with ethics in a world that seemed devoid of morality, Levinas posited the ultimate responsibility of the I for the Face. The Face, or the Other, the not-me according to Levinas, requires and demands this responsibility…

  10. 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. PMID:9106839

  11. 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…

  12. Attention to Faces in Williams Syndrome

    Science.gov (United States)

    Riby, Deborah M.; Jones, Nicola; Brown, Philippa H.; Robinson, Lucy J.; Langton, Stephen R. H.; Bruce, Vicki; Riby, Leigh M.

    2011-01-01

    Williams syndrome (WS) is associated with distinct social behaviours. One component of the WS social phenotype is atypically prolonged face fixation. This behaviour co-exists with attention difficulties. Attention is multi-faceted and may impact on gaze behaviour in several ways. Four experiments assessed (i) attention capture by faces, (ii)…

  13. 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, ...

  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. Hybrid Feature Extraction Technique for Face Recognition

    OpenAIRE

    Sangeeta N. Kakarwal; Ratnadeep R. Deshmukh

    2012-01-01

    This paper presents novel technique for recognizing faces. The proposed method uses hybrid feature extraction techniques such as Chi square and entropy are combined together. Feed forward and self-organizing neural network are used for classification. We evaluate proposed method using FACE94 and ORL database and achieved better performance.

  16. Environmental Inversion Effects in Face Perception

    Science.gov (United States)

    Davidenko, Nicolas; Flusberg, Stephen J.

    2012-01-01

    Visual processing is highly sensitive to stimulus orientation; for example, face perception is drastically worse when faces are oriented inverted vs. upright. However, stimulus orientation must be established in relation to a particular reference frame, and in most studies, several reference frames are conflated. Which reference frame(s) matter in…

  17. 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.

  18. Telling one face from another: electrocortical correlates of facial characteristics among individual female faces.

    Science.gov (United States)

    Zheng, Xin; Mondloch, Catherine J; Nishimura, Mayu; Vida, Mark D; Segalowitz, Sidney J

    2011-10-01

    Research investigating the neural correlates of face processing has emphasized differences in neural activity when participants view faces versus other stimulus categories (e.g., houses). Much less is known about the neural mechanisms underlying the discrimination among individual faces. Using a large number of female faces, here we show that the amplitude of the face-sensitive N170 electrocortical component is related to a range of facial characteristics. The right N170 amplitude was related to eye color and face width. The left N170 amplitude was related to eye shape and face proportions, suggesting a functional dissociation between hemispheres. In contrast, the amplitude of the P100 and N250 components was largely unaffected by these facial characteristics. Consistent with recent findings in non-human primates, we identify for the first time evidence of human electrocortical brain potentials that are sensitive to variations in specific facial characteristics, a prerequisite for recognizing the identity of individual faces. PMID:21843540

  19. Not All Faces Are Processed Equally: Evidence for Featural Rather than Holistic Processing of One's Own Face in a Face-Imaging Task

    Science.gov (United States)

    Greenberg, Seth N.; Goshen-Gottstein, Yonatan

    2009-01-01

    The present work considers the mental imaging of faces, with a focus in own-face imaging. Experiments 1 and 3 demonstrated an own-face disadvantage, with slower generation of mental images of one's own face than of other familiar faces. In contrast, Experiment 2 demonstrated that mental images of facial parts are generated more quickly for one's…

  20. Face shape and face identity processing in behavioral variant fronto-temporal dementia : A specific deficit for familiarity and name recognition of famous faces

    NARCIS (Netherlands)

    De Winter, François-Laurent; Timmers, Dorien; de Gelder, Beatrice; Van Orshoven, Marc; Vieren, Marleen; Bouckaert, Miriam; Cypers, Gert; Caekebeke, Jo; Van de Vliet, Laura; Goffin, Karolien; Van Laere, Koen; Sunaert, Stefan; Vandenberghe, Rik; Vandenbulcke, Mathieu; Van den Stock, Jan

    2016-01-01

    Deficits in face processing have been described in the behavioral variant of fronto-temporal dementia (bvFTD), primarily regarding the recognition of facial expressions. Less is known about face shape and face identity processing. Here we used a hierarchical strategy targeting face shape and face id

  1. In your face: transcendence in embodied interaction.

    Science.gov (United States)

    Gallagher, Shaun

    2014-01-01

    In cognitive psychology, studies concerning the face tend to focus on questions about face recognition, theory of mind (ToM) 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. PMID:25071523

  2. Are reading and face processing related?

    DEFF Research Database (Denmark)

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

    Traditionally, perceptual processing of faces and words is considered highly specialized, strongly lateralized, and largely independent. This has, however, recently been challenged by studies showing that learning to read may affect the perceptual and neural processes involved in face recognition....... 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...... of normal intelligence and other cognitive abilities. The face processing deficits in developmental prosopagnosia appear early in life and seem to be the result of developmental problems that are currently poorly understood. In three experiments, we investigated whether reading performance in this group...

  3. 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.

  4. 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....

  5. 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.

  6. Face logging in Copenhagen Limestone, Denmark

    DEFF Research Database (Denmark)

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

    2015-01-01

    induration degrees recorded in face logs and boreholes are compared and correlated. Distinct geophysical log markers are used to divide the limestone into three units. These marker horizons are correlated between face logs and geotechnical boreholes. A 3D model of the strength variations recorded within the......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...

  7. 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...

  8. Faces from sketches: a subspace synthesis approach

    Science.gov (United States)

    Li, Yung-hui; Savvides, Marios

    2006-04-01

    In real life scenario, we may be interested in face recognition for identification purpose when we only got sketch of the face images, for example, when police tries to identify criminals based on sketches of suspect, which is drawn by artists according to description of witnesses, what they have in hand is a sketch of suspects, and many real face image acquired from video surveillance. So far the state-of-the-art approach toward this problem tries to transform all real face images into sketches and perform recognition on sketch domain. In our approach we propose the opposite which is a better approach; we propose to generate a realistic face image from the composite sketch using a Hybrid subspace method and then build an illumination tolerant correlation filter which can recognize the person under different illumination variations. We show experimental results on our approach on the CMU PIE (Pose Illumination and Expression) database on the effectiveness of our novel approach.

  9. Touching up on faces -A multisensory perspective on acquiring expertise with faces-

    OpenAIRE

    Whittingstall, Lisa

    2011-01-01

    Faces are often considered to be different from other object categories both because of the sociobiological necessity for humans to differentiate members of their own group, and because of the differences in cognitive demands for face perception relative to general object recognition. A tremendous amount of research has shown that human observers are experts at visual face recognition due to specialized visual mechanisms for face processing that evolve with perceptual expertise. In this Ph.D....

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

    OpenAIRE

    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 topic, and research organization (university, government versus market research) had an effect on the response. On the average, the face-to-face condition achieved the highest completion rate (70.3%),...

  11. Clean Evidence on Face-to-Face: Why Experimental Economics is of Interest to Regional Economists

    OpenAIRE

    Frank, Björn

    2009-01-01

    The notion of face-to-face contacts has recently become very popular in regional economics and in economic geography. This is the most obvious way to explain why firms still locate in proximity to others after the "death of distance", i.e., the shrinking costs for transportation, especially transportation of messages' pure information content. While this is intuitive, controlled laboratory experiments provide much more direct and reliable evidence on the importance of face-to-face contacts. T...

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

    OpenAIRE

    Mummery W Kerry; Steele Rebekah M; Dwyer Trudy

    2007-01-01

    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 includ...

  13. Time Spent in Face-to-Face Patient Care and Work Outside the Examination Room

    OpenAIRE

    Gottschalk, Andrew; Flocke, Susan A.

    2005-01-01

    PURPOSE Contrary to physicians’ concerns that face-to-face patient time is decreasing, data from the National Ambulatory Medical Care Survey (NAMCS) indicate that between 1988 and 1998, durations of primary care outpatient visits have increased. This study documented how physicians spend time during the workday, including time outside the examination room, and compared observed face-to-face patient care time with that reported in NAMCS.

  14. 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…

  15. Face Prediction Model for an Automatic Age-invariant Face Recognition System

    OpenAIRE

    Yadav, Poonam

    2015-01-01

    Automated face recognition and identification softwares are becoming part of our daily life; it finds its abode not only with Facebook's auto photo tagging, Apple's iPhoto, Google's Picasa, Microsoft's Kinect, but also in Homeland Security Department's dedicated biometric face detection systems. Most of these automatic face identification systems fail where the effects of aging come into the picture. Little work exists in the literature on the subject of face prediction that accounts for agin...

  16. Placing faces: recollection and familiarity in the own-race bias for face recognition

    OpenAIRE

    Horry, Ruth

    2010-01-01

    The research presented in this thesis examined the roles of recollection and familiarity in the own-race bias (ORB) in recognition memory for faces. In Paper 1, Jacoby’s (1991) process-dissociation procedure was used to estimate the relative contributions of recollection and familiarity in recognizing own- and other-race faces. Recollection estimates were higher for own-race faces than for other-race faces, although this effect disappeared when deep or shallow encoding strategies were encoura...

  17. Looking at a face. Relavant aspects of face perception in social cognition

    OpenAIRE

    Comparetti,

    2012-01-01

    An important issue in human cognition concerns face processing. Faces are incontestably one of the most important biological stimuli for humans. They convey crucial social cues, such as age, sex, emotion and identity information, and are the basis of verbal and non-verbal communication. Face processing and recognition have been extensively studied over the past years, through different methodology including neuroimaging and electrophysiology, mostly aimed at testing the extent to which faces...

  18. Video conferencing vs talking face-to-face: is video suitable for supportive dialogue?

    OpenAIRE

    Taylor, Teri

    2011-01-01

    Aims: This study aimed to explore the differences between conversations carried out face-to-face and those via video link, to see if the latter was suitable for supporting health care students. The study's objectives were: to determine perceived differences between supportive conversations conducted via video link and those carried out face-to-face; and to explore potential causes of any perceived differences between the two methods of conversation. Methods: The study used a mix of ...

  19. Computational Modeling of Face-to-Face Social Interaction Using Nonverbal Behavioral Cues

    OpenAIRE

    Jayagopi, Dinesh Babu

    2011-01-01

    The computational modeling of face-to-face interactions using nonverbal behavioral cues is an emerging and relevant problem in social computing. Studying face-to-face interactions in small groups helps in understanding the basic processes of individual and group behavior; and improving team productivity and satisfaction in the modern workplace. Apart from the verbal channel, nonverbal behavioral cues form a rich communication channel through which peo...

  20. Effectiveness of Link Prediction for Face-to-Face Behavioral Networks

    OpenAIRE

    Tsugawa, Sho; Ohsaki, Hiroyuki

    2013-01-01

    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 tec...

  1. 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…

  2. Academic Help-Seeking in Online and Face-to-Face Learning Environments

    Science.gov (United States)

    Mahasneh, Randa A.; Sowan, Azizeh K.; Nassar, Yahya H.

    2012-01-01

    This article compares actual help-seeking frequencies across online and face-to-face learning environments. It also examines strategies enacted by nursing students when they faced academic difficulties, reasons for help-seeking avoidance, and the relationship between the frequency of asking questions and achievement. Participants were nursing…

  3. 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…

  4. 20 CFR 266.6 - Information to be submitted by a representative payee-applicant; face-to-face interview.

    Science.gov (United States)

    2010-04-01

    ... representative payee-applicant; face-to-face interview. 266.6 Section 266.6 Employees' Benefits RAILROAD... be submitted by a representative payee-applicant; face-to-face interview. Before the Board selects a... listed in § 266.4 of this part. An employee of the Board may also conduct a face-to-face interview...

  5. 77 FR 40411 - Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee

    Science.gov (United States)

    2012-07-09

    ... Internal Revenue Service Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project... meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee will be conducted....C. App. (1988) that a meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods...

  6. 77 FR 55525 - Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee

    Science.gov (United States)

    2012-09-10

    ... Internal Revenue Service Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project... meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee will be conducted....C. App. (1988) that a meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods...

  7. 77 FR 8328 - Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee

    Science.gov (United States)

    2012-02-14

    ... Internal Revenue Service Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project... meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee will ] be conducted....C. App. (1988) that a meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods...

  8. 77 FR 61053 - Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee

    Science.gov (United States)

    2012-10-05

    ... Internal Revenue Service Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project... meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee will be conducted....C. App. (1988) that a meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods...

  9. 77 FR 21157 - Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee

    Science.gov (United States)

    2012-04-09

    ... Internal Revenue Service Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project... meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee will be conducted.... (1988) that a meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee...

  10. 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.

  11. Serotonergic modulation of face-emotion recognition

    Directory of Open Access Journals (Sweden)

    C.M. Del-Ben

    2008-04-01

    Full Text Available Facial expressions of basic emotions have been widely used to investigate the neural substrates of emotion processing, but little is known about the exact meaning of subjective changes provoked by perceiving facial expressions. Our assumption was that fearful faces would be related to the processing of potential threats, whereas angry faces would be related to the processing of proximal threats. Experimental studies have suggested that serotonin modulates the brain processes underlying defensive responses to environmental threats, facilitating risk assessment behavior elicited by potential threats and inhibiting fight or flight responses to proximal threats. In order to test these predictions about the relationship between fearful and angry faces and defensive behaviors, we carried out a review of the literature about the effects of pharmacological probes that affect 5-HT-mediated neurotransmission on the perception of emotional faces. The hypothesis that angry faces would be processed as a proximal threat and that, as a consequence, their recognition would be impaired by an increase in 5-HT function was not supported by the results reviewed. In contrast, most of the studies that evaluated the behavioral effects of serotonin challenges showed that increased 5-HT neurotransmission facilitates the recognition of fearful faces, whereas its decrease impairs the same performance. These results agree with the hypothesis that fearful faces are processed as potential threats and that 5-HT enhances this brain processing.

  12. 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.

  13. A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans

    OpenAIRE

    Amirhossein Farzmahdi; Karim Rajaei; Masoud Ghodrati; Reza Ebrahimpour; Seyed-Mahdi Khaligh-Razavi

    2016-01-01

    Converging reports indicate that face images are processed through specialized neural networks in the brain –i.e. face patches in monkeys and the fusiform face area (FFA) in humans. These studies were designed to find out how faces are processed in visual system compared to other objects. Yet, the underlying mechanism of face processing is not completely revealed. Here, we show that a hierarchical computational model, inspired by electrophysiological evidence on face processing in primates, i...

  14. 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.

  15. A Comprehensive Survey on Face Expression Recognition

    Directory of Open Access Journals (Sweden)

    Maninder Kaur

    2014-03-01

    Full Text Available Facial expressions provide an important behavioral measure for the study of emotions, cognitive processes and social interaction. Facial Expression Recognition (FER is process performed by computers which consist of detect the face in the image and preprocess the face region, extracting facial expression features from image. There have been several advances in the past few years in terms of face detection and tracking, feature extraction mechanisms and the techniques used for expression classification. This paper presents a time-line view of the advances made in this field, the key challenges and the classifications of FER

  16. 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.

  17. Parametric face alignment : generative and discriminative approaches

    OpenAIRE

    Martins, Pedro Alexandre Dias

    2012-01-01

    Esta tese aborda a correspond^encia de modelos humanos de faces deform aveis em imagens 2D. S~ao apresentadas duas abordagens diferentes: m etodos generativos e discriminativos. Os modelos generativos ou hol sticos modelam a apar^encia/textura de todos os pixeis que descrevem a face, sintetizando a apar^encia esperada (s~ao criadas vers~oes sint eticas da face alvo). Os modelos discriminativos ou baseados em partes modelam correla c~oes locais entre valores de pixeis. Esta abo...

  18. FACE RECOGNITION BASED ON CUCKOO SEARCH ALGORITHM

    Directory of Open Access Journals (Sweden)

    VIPINKUMAR TIWARI

    2012-07-01

    Full Text Available Feature Selection is a optimization technique used in face recognition technology. Feature selection removes the irrelevant, noisy and redundant data thus leading to the more accurate recognition of face from the database.Cuckko Algorithm is one of the recent optimization algorithm in the league of nature based algorithm. Its optimization results are better than the PSO and ACO optimization algorithms. The proposal of applying the Cuckoo algorithm for feature selection in the process of face recognition is presented in this paper.

  19. Categorical perception for unfamiliar faces. The effect of covert and overt face learning.

    Science.gov (United States)

    Kikutani, M; Roberson, D; Hanley, J R

    2010-06-01

    Robust findings show that categorical perception (CP) occurs in identification of familiar faces. CP has also been observed for unfamiliar morphed faces after sufficient learning of the original, unmorphed faces has taken place. We previously suggested that CP arises when the activation of inconsistent visual and verbal representations creates a conflict between perceptual and category information. In the present study, we conducted two experiments in which the endpoint faces of an unfamiliar morphed continuum were presented in either a covert training regime (famous vs. nonfamous judgments) or an overt training regime (previously seen vs. unseen judgments). In both experiments, participants' reaction times to repeated targets decreased relative to reaction times to control items during training. After overt training, CP was observed for the previously unfamiliar faces. No CP was observed for covertly trained faces. We conclude that individual faces must be explicitly categorized before CP can be established for the morphed continuum between them. PMID:20483817

  20. Cross-modal face recognition using multi-matcher face scores

    Science.gov (United States)

    Zheng, Yufeng; Blasch, Erik

    2015-05-01

    The performance of face recognition can be improved using information fusion of multimodal images and/or multiple algorithms. When multimodal face images are available, cross-modal recognition is meaningful for security and surveillance applications. For example, a probe face is a thermal image (especially at nighttime), while only visible face images are available in the gallery database. Matching a thermal probe face onto the visible gallery faces requires crossmodal matching approaches. A few such studies were implemented in facial feature space with medium recognition performance. In this paper, we propose a cross-modal recognition approach, where multimodal faces are cross-matched in feature space and the recognition performance is enhanced with stereo fusion at image, feature and/or score level. In the proposed scenario, there are two cameras for stereo imaging, two face imagers (visible and thermal images) in each camera, and three recognition algorithms (circular Gaussian filter, face pattern byte, linear discriminant analysis). A score vector is formed with three cross-matched face scores from the aforementioned three algorithms. A classifier (e.g., k-nearest neighbor, support vector machine, binomial logical regression [BLR]) is trained then tested with the score vectors by using 10-fold cross validations. The proposed approach was validated with a multispectral stereo face dataset from 105 subjects. Our experiments show very promising results: ACR (accuracy rate) = 97.84%, FAR (false accept rate) = 0.84% when cross-matching the fused thermal faces onto the fused visible faces by using three face scores and the BLR classifier.

  1. Gabor wavelet associative memory for face recognition.

    Science.gov (United States)

    Zhang, Haihong; Zhang, Bailing; Huang, Weimin; Tian, Qi

    2005-01-01

    This letter describes a high-performance face recognition system by combining two recently proposed neural network models, namely Gabor wavelet network (GWN) and kernel associative memory (KAM), into a unified structure called Gabor wavelet associative memory (GWAM). GWAM has superior representation capability inherited from GWN and consequently demonstrates a much better recognition performance than KAM. Extensive experiments have been conducted to evaluate a GWAM-based recognition scheme using three popular face databases, i.e., FERET database, Olivetti-Oracle Research Lab (ORL) database and AR face database. The experimental results consistently show our scheme's superiority and demonstrate its very high-performance comparing favorably to some recent face recognition methods, achieving 99.3% and 100% accuracy, respectively, on the former two databases, exhibiting very robust performance on the last database against varying illumination conditions. PMID:15732406

  2. 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...

  3. Psychophysical thresholds of face visibility during infancy

    DEFF Research Database (Denmark)

    Gelskov, Sofie; Kouider, Sid

    2010-01-01

    The ability to detect and focus on faces is a fundamental prerequisite for developing social skills. But how well can infants detect faces? Here, we address this question by studying the minimum duration at which faces must appear to trigger a behavioral response in infants. We used a preferential...... looking method in conjunction with masking and brief presentations (300 ms and below) to establish the temporal thresholds of visibility at different stages of development. We found that 5 and 10 month-old infants have remarkably similar visibility thresholds about three times higher than those of adults....... 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....

  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. Red in the Face: Understanding Rosacea

    Science.gov (United States)

    ... exit disclaimer . Subscribe Red in the Face Understanding Rosacea Some people think of a rosy complexion as ... more troubling—a long-lasting skin disorder called rosacea. Rosacea (pronounced ro-ZAY-she-ah) may start ...

  6. 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...

  7. Phase changes in liquid face seals

    Science.gov (United States)

    Hughes, W. F.

    1980-01-01

    Computer program predicts boiling (phase change) in liquid face seals. Program determines if and when boiling occurs, and calculates location of boiling interface, pressure and temperature profiles, and load.

  8. What are the challenges facing our industry

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-12-01

    This presentation relates to the changing business climate of the petroleum industry worldwide. The author gives a touch on the changes of what the industry is facing and the response together with the keys to long-term shareholder value

  9. Gender-Specific Health Challenges Facing Women

    Science.gov (United States)

    ... Skip Content Marketing Share this: Main Content Area Gender-Specific Health Challenges Facing Women Of the approximately ... adverse reactions to the drugs. Women also suffer gender-specific consequences of HIV, including recurrent vaginal yeast ...

  10. What are the challenges facing our industry

    International Nuclear Information System (INIS)

    This presentation relates to the changing business climate of the petroleum industry worldwide. The author gives a touch on the changes of what the industry is facing and the response together with the keys to long-term shareholder value

  11. 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 ...

  12. Invariant Face recognition Using Infrared Images

    International Nuclear Information System (INIS)

    Over the past few decades, face recognition has become a rapidly growing research topic due to the increasing demands in many applications of our daily life such as airport surveillance, personal identification in law enforcement, surveillance systems, information safety, securing financial transactions, and computer security. The objective of this thesis is to develop a face recognition system capable of recognizing persons with a high recognition capability, low processing time, and under different illumination conditions, and different facial expressions. The thesis presents a study for the performance of the face recognition system using two techniques; the Principal Component Analysis (PCA), and the Zernike Moments (ZM). The performance of the recognition system is evaluated according to several aspects including the recognition rate, and the processing time. Face recognition systems that use visual images are sensitive to variations in the lighting conditions and facial expressions. The performance of these systems may be degraded under poor illumination conditions or for subjects of various skin colors. Several solutions have been proposed to overcome these limitations. One of these solutions is to work in the Infrared (IR) spectrum. IR images have been suggested as an alternative source of information for detection and recognition of faces, when there is little or no control over lighting conditions. This arises from the fact that these images are formed due to thermal emissions from skin, which is an intrinsic property because these emissions depend on the distribution of blood vessels under the skin. On the other hand IR face recognition systems still have limitations with temperature variations and recognition of persons wearing eye glasses. In this thesis we will fuse IR images with visible images to enhance the performance of face recognition systems. Images are fused using the wavelet transform. Simulation results show that the fusion of visible and

  13. 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).

  14. Structured Occlusion Coding for Robust Face Recognition

    OpenAIRE

    Wen, Yandong; Liu, Weiyang; Yang, Meng; Fu, Yuli; Xiang, Youjun; Hu, Rui

    2015-01-01

    Occlusion in face recognition is a common yet challenging problem. While sparse representation based classification (SRC) has been shown promising performance in laboratory conditions (i.e. noiseless or random pixel corrupted), it performs much worse in practical scenarios. In this paper, we consider the practical face recognition problem, where the occlusions are predictable and available for sampling. We propose the structured occlusion coding (SOC) to address occlusion problems. The struct...

  15. Smoker's face: an underrated clinical sign?

    OpenAIRE

    Model, D

    1985-01-01

    In a prospective survey of patients attending a general medical outpatient clinic roughly half the current cigarette smokers who had smoked for 10 years or more were identified, using defined criteria, by their facial features alone. These facial features, designated "smoker's face," were present in three (8%) of those who had smoked cigarettes for 10 years or more in the past and in none of the non-smokers. The association of smoker's face with current smoking that had continued for 10 years...

  16. AN ILLUMINATION INVARIANT TEXTURE BASED FACE RECOGNITION

    OpenAIRE

    K.Meena; A. Suruliandi; R. Reena Rose

    2013-01-01

    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 Filteri...

  17. Real Time Implementation Of Face Recognition System

    OpenAIRE

    Megha Manchanda

    2014-01-01

    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 ...

  18. Lighting system with heat distribution face plate

    Energy Technology Data Exchange (ETDEWEB)

    Arik, Mehmet; Weaver, Stanton Earl; Stecher, Thomas Elliot; Kuenzler, Glenn Howard; Wolfe, Jr., Charles Franklin; Li, Ri

    2013-09-10

    Lighting systems having a light source and a thermal management system are provided. The thermal management system includes synthetic jet devices, a heat sink and a heat distribution face plate. The synthetic jet devices are arranged in parallel to one and other and are configured to actively cool the lighting system. The heat distribution face plate is configured to radially transfer heat from the light source into the ambient air.

  19. Weighted Attribute Fusion Model for Face Recognition

    OpenAIRE

    S. Sakthivel; R. Lakshmipathi

    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. Hen...

  20. A Lightened CNN for Deep Face Representation

    OpenAIRE

    Wu, Xiang; He, Ran; Sun, Zhenan

    2015-01-01

    Convolution neural network (CNN) has significantly pushed forward the development of face recognition techniques. To achieve ultimate accuracy, CNN models tend to be deeper or multiple local facial patch ensemble, which result in a waste of time and space. To alleviate this issue, this paper studies a lightened CNN framework to learn a compact embedding for face representation. First, we introduce the concept of maxout in the fully connected layer to the convolution layer, which leads to a ne...

  1. Survey on Human Face Expression Recognition

    OpenAIRE

    Atul Chinchamalatpure; Prof. Anurag Jain

    2014-01-01

    Facial expression recognition plays an important and effective role in the interaction in Human. There are seven basic facial expressions namely fear, surprise, happy, sad, disgust, Neutral and anger. Facial Expression Recognition is process performed by computers which consist of detect the face in the image and pre-process the face region, extracting facial expression features from image by analyzing the motion of facial features or change in the appearance of facial features and classifyin...

  2. Autism and the development of face processing

    OpenAIRE

    Golarai, Golijeh; Grill-Spector, Kalanit; Reiss, Allan L.

    2006-01-01

    Autism is a pervasive developmental condition, characterized by impairments in non-verbal communication, social relationships and stereotypical patterns of behavior. A large body of evidence suggests that several aspects of face processing are impaired in autism, including anomalies in gaze processing, memory for facial identity and recognition of facial expressions of emotion. In search of neural markers of anomalous face processing in autism, much interest has focused on a network of brain ...

  3. 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.

  4. Color face recognition using quaternion PCA

    OpenAIRE

    Jaha, Emad Sami; Lahouari, Ghouti

    2011-01-01

    Recently, biometric systems have attracted the attention of both academic and industrial communities. Advances in hardware and software technologies have paved the way to such growing interest. Nowadays, efficient and cost-effective biometric solutions are continuously emerging. Fingerprint-based biometric systems have emerged as pioneering commercial applications of biometric systems. Face and iris traits have proven to be reliable candidates. Until recently, face recognition research litera...

  5. Decision-dependent aftereffects for faces.

    Science.gov (United States)

    Walther, Christian; Schweinberger, Stefan R; Kovács, Gyula

    2014-07-01

    Adaptation-related aftereffects (AEs) have been found in the perception of face identity, in that perception of an ambiguous face is typically biased away from the identity of a preceding unambiguous adaptor face. In previous studies, we could show that both perceptual ambiguity and physical similarity play a role in determining perceived face identity AEs, Cortex 49 (2013) 1963-1977, Plos One 8 (2013) e70525. Here, we tested further the role of ambiguity by manipulating participants' task such that the very same target stimuli were either ambiguous or unambiguous regarding stimulus classification. We created two partially overlapping continua spanning three unfamiliar face identities each, by morphing identity A via B to C, and B via C to D. In a first session, participants were familiarised with faces A and C and asked to classify faces of the A-B-C continuum as either identity A or C in an AE paradigm. Following adaptation to A or C, we observed contrastive AEs for the ambiguous identity B, but not for the unambiguous identities A or C. In a second session, the same participants were familiarised with faces B and D, followed by tests of AEs for the B-C-D continuum now involving a B-D classification task. We again observed contrastive AEs but only for target identity C (ambiguous for the decision) and not for B or D (unambiguous). Our results suggest that perceptual ambiguity, as given by the task-context, determines whether or not AEs are induced. PMID:24768800

  6. Mapping face recognition information use across cultures

    Directory of Open Access Journals (Sweden)

    Sébastien eMiellet

    2013-02-01

    Full Text Available Face recognition is not rooted in a universal eye movement information-gathering strategy. Western observers favor a local facial feature sampling strategy, whereas Eastern observers prefer sampling face information from a global, central fixation strategy. Yet, the precise qualitative (the diagnostic and quantitative (the amount information underlying these cultural perceptual biases in face recognition remains undetermined.To this end, we monitored the eye movements of Western and Eastern observers during a face recognition task, with a novel gaze-contingent technique: the Expanding Spotlight. We used 2° Gaussian apertures centered on the observers' fixations expanding dynamically at a rate of 1° every 25ms at each fixation - the longer the fixation duration, the larger the aperture size. Identity-specific face information was only displayed within the Gaussian aperture; outside the aperture, an average face template was displayed to facilitate saccade planning. Thus, the Expanding Spotlight simultaneously maps out the facial information span at each fixation location.Data obtained with the Expanding Spotlight technique confirmed that Westerners extract more information from the eye region, whereas Easterners extract more information from the nose region. Interestingly, this quantitative difference was paired with a qualitative disparity. Retinal filters based on spatial frequency decomposition built from the fixations maps revealed that Westerners used local high-spatial frequency information sampling, covering all the features critical for effective face recognition (the eyes and the mouth. In contrast, Easterners achieved a similar result by using global low-spatial frequency information from those facial features.Our data show that the face system flexibly engages into local or global eye movement strategies across cultures, by relying on distinct facial information span and culturally tuned spatially filtered information. Overall, our

  7. Facing communication challenges in global software development

    OpenAIRE

    Aranda, Gabriela N.; Vizcaíno, Aurora; Piattini Velthuis, Mario

    2009-01-01

    The main challenges during global software development projects are related to the lack of face-to-face communication. Since stakeholders satisfaction is crucial as a factor that can infl uence a team performance, we have focused our research on the need of people feeling comfortable with the technology they use. In this article we introduce an approach that proposes a way of choosing the most suitable technology for a given group of people, taking advantage of information about stakeholders...

  8. Non-Egalitarian Allocations among Preschool Peers in a Face-to-Face Bargaining Task

    Science.gov (United States)

    Melis, Alicia P.; Floedl, Anja; Tomasello, Michael

    2015-01-01

    In face-to-face bargaining tasks human adults almost always agree on an equal split of resources. This is due to mutually recognized fairness and equality norms. Early developmental studies on sharing and equality norms found that egalitarian allocations of resources are not common before children are 5 or 6 years old. However, recent studies have shown that in some face-to face collaborative situations, or when recipients express their desires, children at much younger ages choose equal allocations. We investigated the ability of 3.5 and 5-year-olds to negotiate face-to-face, whether to collaborate to obtain an equal or an unequal distribution of rewards. We hypothesized that the face-to-face interaction and interdependency between partners would facilitate egalitarian outcomes at both ages. In the first experiment we found that 5-year-olds were more egalitarian than 3.5-year-olds, but neither of the age classes shared equally. In the second experiment, in which we increased the magnitude of the inequality, we found that children at both ages mostly agreed on the unequal distribution. These results show that communication and face-to-face interactions are not sufficient to guarantee equal allocations at 3–5 years of age. These results add to previous findings suggesting that in the context of non-collaboratively produced resources it is only after 5 years of age that children use equality norms to allocate resources. PMID:25786250

  9. A Qualitative Impairment in Face Perception in Alzheimer's Disease: Evidence from a Reduced Face Inversion Effect.

    Science.gov (United States)

    Lavallée, Marie Maxime; Gandini, Delphine; Rouleau, Isabelle; Vallet, Guillaume T; Joannette, Maude; Kergoat, Marie-Jeanne; Busigny, Thomas; Rossion, Bruno; Joubert, Sven

    2016-01-01

    Prevalent face recognition difficulties in Alzheimer's disease (AD) have typically been attributed to the underlying episodic and semantic memory impairment. The aim of the current study was to determine if AD patients are also impaired at the perceptual level for faces, more specifically at extracting a visual representation of an individual face. To address this question, we investigated the matching of simultaneously presented individual faces and of other nonface familiar shapes (cars), at both upright and inverted orientation, in a group of mild AD patients and in a group of healthy older controls matched for age and education. AD patients showed a reduced inversion effect (i.e., larger performance for upright than inverted stimuli) for faces, but not for cars, both in terms of error rates and response times. While healthy participants showed a much larger decrease in performance for faces than for cars with inversion, the inversion effect did not differ significantly for faces and cars in AD. This abnormal inversion effect for faces was observed in a large subset of individual patients with AD. These results suggest that AD patients have deficits in higher-level visual processes, more specifically at perceiving individual faces, a function that relies on holistic representations specific to upright face stimuli. These deficits, combined with their memory impairment, may contribute to the difficulties in recognizing familiar people that are often reported in patients suffering from the disease and by their caregivers. PMID:26967217

  10. 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. PMID:24374735

  11. Longwall face support design - a microcomputer model

    Energy Technology Data Exchange (ETDEWEB)

    Dutta, D.; De, P.; Bhattacharya, J.; Ghosh, A.K.; Ghose, A.K.

    1986-03-01

    Longwall mining is the most prolific and widely accepted method of coal extraction. The prediction of roof behaviour and estimation of support requirement at the face is the major problem referring directly to safety and productivity. There are two main schools of thought to explain the strata mechanics of the roof at longwall faces; the traditional pressure arch theory assumes that the pressure from the overlying strata is arched between the longwall face and the goaf, while the second school holds that the immediate roof is composed of a cantilever beam which detaches from the overlying main roof. Discusses the design of longwall face supports including classification of roof rock, design of powered supports, an estimation of prop free front initial face advance prior to first caving, calculation of width of immediate roof, approaches for support load estimation, setting and yield load of face support and by closure of powered support. On the basis of this theory, a microcomputer model has been developed. Discusses the flow chart and the program. Two hypothetical cases have been considered for the design of longwall supports. 38 refs.

  12. Modeling plasma facing materials for fusion power

    Directory of Open Access Journals (Sweden)

    D.M. Duffy

    2009-11-01

    Full Text Available Plasma facing materials, the materials that line the vacuum vessel, experience particularly hostile conditions as they are subjected to high particle and neutron flux and high heat loads. Plasma facing materials must have high thermal conductivity for efficient heat transport, high cohesive energy for low erosion by particle bombardment and low atomic number to minimize plasma cooling. These contradictory requirements make the development of plasma facing materials one of the greatest challenges ever faced by materials scientists. Modeling has made, and continues to make, a valuable contribution to the understanding of the various processes involved in the radiation damage of plasma facing materials. The techniques used to model the effects of high thermal and particle flux range from ab initio techniques that study processes occurring on femtosecond timescales and nanometre length scales, to molecular dynamics for intermediate length and timescales and finite element models for macroscopic length scales and experimental timescales. The synergy between the effects of the plasma, high heat flux and particle flux presents particular challenges for modeling. In this review we summarise the potential candidates for plasma facing materials and describe the methods used for modeling the response of these materials to the conditions experienced in a fusion reactor.

  13. 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

  14. The Face behind the Mask: A Developmental Study

    Science.gov (United States)

    Tottenham, Nim; Leon, Andrew C.; Casey, B. J.

    2006-01-01

    Faces are a rich and available source of social information, and the representation for faces is robust in adults (i.e. the face detection effect; Purcell & Stewart, 1988). The current study compared the developmental trajectory of the robustness of face perception against the trajectory for a non-face object. Participants (5-35 years old) were…

  15. 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.

  16. 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.

  17. Longitudinal Student Research Competency: Comparing Online and Traditional Face-to-Face Learning Platforms

    Directory of Open Access Journals (Sweden)

    Jodi Constantine Brown

    2016-04-01

    Full Text Available This exploratory research compares longitudinal research self-efficacy and retention between a completely asynchronous Master of Social Work (MSW online cohort and its traditional face-to-face counterpart. This study used a non-equivalent comparison groups design with two groups: online instruction only (n=16 and traditional face-to-face instruction (n=32, with pretest (Time 1, posttest (Time 2 and follow-up (Time 3 standardized measures of practice evaluation knowledge (PEKS and research self-efficacy (RSES in a beginning research methods course. Results indicate that students’ knowledge and research self-efficacy improved between pretest and posttest and remained significantly improved at follow-up one year later, with no significant difference between online learners and traditional face-to-face students. Students gain and maintain confidence in research methods and evaluation regardless of the learning platform utilized.

  18. 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.

  19. 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.

  20. 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

  1. When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition

    OpenAIRE

    Hu, G.; Yang, Y.; Yi, D.; Kittler, J.; Christmas, WJ; S. Li; Hospedales, T

    2015-01-01

    Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising results in face recognition recently. However, it remains an open question: why CNNs work well and how to design a ‘good’ architecture. The existing works tend to focus on reporting CNN architectures that work well for face recognition rather than investigate the reason. In this work, we conduct an extensive evaluation of CNN-based face recognition systems (CNN-FRS) on a common ground to make our work easi...

  2. 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

  3. 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.

  4. Errors Made By The Speakers In Face To Face With Bill Gates Broadcasted On Metro Tv

    OpenAIRE

    Yuly, Florence

    2015-01-01

    This thesis entitled Errors Made by The Speakers in Face to Face with Bill Gates. This thesis discusses about the speech errors that are found in the speeches of the speakers during the interview session in Face to Face With Bill Gates broadcasted on Metro TV by using library research and field research. The analysis in this thesis is focused on the common types of speech errors based on Clark and Clark’s (1977) theory such as silent pause, filled pause, repeat, retraced false start, unretrac...

  5. A Study Of Effectiveness Of Face To Face English Communication Skill Among M Ed Students

    OpenAIRE

    Manisha Vinay Indani; Nitin K. Jadhav

    2012-01-01

    In the present study, the researcher studied on the topic entitled A Study of Effectiveness of Face to Face English Communication Skill Among M.Ed. Students. The objectives of the study were to study the state of non-English medium M. Ed. students on pretest and posttest of the situations like At the Railway Station, At the Interview and At the Market respectively; to improve the ability of non-English medium M.Ed. students for better face to face English oral communication skill. The study c...

  6. 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. PMID:26566766

  7. 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. PMID:26579008

  8. 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. PMID:26293088

  9. 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.

  10. Hybrid Domain Based Face Recognition System

    Directory of Open Access Journals (Sweden)

    Ravi J

    2012-05-01

    Full Text Available Automation in every field of daily life is required the need of mechanized human identification and verification for ensuring the security. The study of physiological or the behavioural information is referred to as biometrics. Face recognition is a highly active research area with a wide variety application. In this paper, we propose Hybrid Domain Based Face Recognition System (HDFRS for different databases. The original face image is resized to uniform dimensions of 2p x 2q. The DT-CWT of a signal x (n is constructed using two critically-sampled DWTs in parallel with same data. The five levels Dual-Tree Complex Wavelet Transform (DT-CWT is applied on face image to obtain DT-CWT coefficients. The matrix of DT-CWT coefficients is segmented in to 3x3 matrixes. The Local Binary Pattern (LBP algorithm is applied on each 3x3 matrix to get final features. The Euclidean Distance (ED is used to compare features of test face image with data base images. It is observed that the values of False Rejection Rate (FRR, False Acceptance Rate (FAR and Total Success Rate (TSR are better in the proposed model compare to existing method.

  11. 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.

  12. The morphometrics of "masculinity" in human faces.

    Directory of Open Access Journals (Sweden)

    Philipp Mitteroecker

    Full Text Available In studies of social inference and human mate preference, a wide but inconsistent array of tools for computing facial masculinity has been devised. Several of these approaches implicitly assumed that the individual expression of sexually dimorphic shape features, which we refer to as maleness, resembles facial shape features perceived as masculine. We outline a morphometric strategy for estimating separately the face shape patterns that underlie perceived masculinity and maleness, and for computing individual scores for these shape patterns. We further show how faces with different degrees of masculinity or maleness can be constructed in a geometric morphometric framework. In an application of these methods to a set of human facial photographs, we found that shape features typically perceived as masculine are wide faces with a wide inter-orbital distance, a wide nose, thin lips, and a large and massive lower face. The individual expressions of this combination of shape features--the masculinity shape scores--were the best predictor of rated masculinity among the compared methods (r = 0.5. The shape features perceived as masculine only partly resembled the average face shape difference between males and females (sexual dimorphism. Discriminant functions and Procrustes distances to the female mean shape were poor predictors of perceived masculinity.

  13. Adaptive error correction codes for face identification

    Science.gov (United States)

    Hussein, Wafaa R.; Sellahewa, Harin; Jassim, Sabah A.

    2012-06-01

    Face recognition in uncontrolled environments is greatly affected by fuzziness of face feature vectors as a result of extreme variation in recording conditions (e.g. illumination, poses or expressions) in different sessions. Many techniques have been developed to deal with these variations, resulting in improved performances. This paper aims to model template fuzziness as errors and investigate the use of error detection/correction techniques for face recognition in uncontrolled environments. Error correction codes (ECC) have recently been used for biometric key generation but not on biometric templates. We have investigated error patterns in binary face feature vectors extracted from different image windows of differing sizes and for different recording conditions. By estimating statistical parameters for the intra-class and inter-class distributions of Hamming distances in each window, we encode with appropriate ECC's. The proposed approached is tested for binarised wavelet templates using two face databases: Extended Yale-B and Yale. We shall demonstrate that using different combinations of BCH-based ECC's for different blocks and different recording conditions leads to in different accuracy rates, and that using ECC's results in significantly improved recognition results.

  14. 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.

  15. Species sensitivity of early face and eye processing

    OpenAIRE

    Itier, Roxane J.; Van Roon, Patricia; Alain, Claude

    2010-01-01

    Humans are better at recognizing human faces than faces of other species. However, it is unclear whether this species sensitivity can be seen at early perceptual stages of face processing and whether it involves species sensitivity for important facial features like the eyes. These questions were addressed by comparing the modulations of the N170 ERP component to faces, eyes and eyeless faces of humans, apes, cats and dogs, presented upright and inverted. Although all faces and isolated eyes ...

  16. 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.

  17. 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...

  18. Fully Automatic Expression-Invariant Face Correspondence

    CERN Document Server

    Salazar, Augusto; Shu, Chang; Prieto, Flavio

    2012-01-01

    We consider the problem of computing accurate point-to-point correspondences among a set of human face scans with varying expressions. Our fully automatic approach does not require any manually placed markers on the scan. Instead, the approach learns the locations of a set of landmarks present in a database and uses this knowledge to automatically predict the locations of these landmarks on a newly available scan. The predicted landmarks are then used to compute point-to-point correspondences between a template model and the newly available scan. To accurately fit the expression of the template to the expression of the scan, we use as template a blendshape model. Our algorithm was tested on a database of human faces of different ethnic groups with strongly varying expressions. Experimental results show that the obtained point-to-point correspondence is both highly accurate and consistent for most of the tested 3D face models.

  19. 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...

  20. 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

  1. 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.

  2. 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.

  3. 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.

  4. Cohomology of face rings, and torus actions

    OpenAIRE

    Panov, Taras

    2005-01-01

    In this survey article we present several new developments of `toric topology' concerning the cohomology of face rings (also known as Stanley-Reisner algebras). We prove that the integral cohomology algebra of the moment-angle complex Z_K (equivalently, of the complement U(K) of the coordinate subspace arrangement) determined by a simplicial complex K is isomorphic to the Tor-algebra of the face ring of K. Then we analyse Massey products and formality of this algebra by using a generalisation...

  5. 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.

  6. 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].

  7. Face Recognition Based on Principal Component Analysis

    OpenAIRE

    Ali Javed

    2013-01-01

    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...

  8. Eccrine cylindroma of the face and scalp

    Science.gov (United States)

    Manicketh, Indu; Singh, Rekha; Ghosh, Prasit Kumar

    2016-01-01

    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. PMID:27294061

  9. Case Report: Congenital infiltrating lipomatosis of face

    International Nuclear Information System (INIS)

    Congenital infiltrating lipomatosis of the face is a rare condition characterized by diffuse fatty infiltration of the facial soft tissues. There may be muscle involvement along with associated bony hyperplasia. It is a type of lipomatous tumor that is congenital in origin; it is rare and seen usually in childhood. We recently saw an 11-year-old girl with this condition. She presented with a swelling of the right side of the face that had been present since birth; there were typical findings on plain radiographs, CT, and MRI. The patient underwent cosmetic surgery. Histopathological examination showed mature adipocytes without any capsule

  10. Automatic Eye Extraction in Human Face Images

    Institute of Scientific and Technical Information of China (English)

    LIU Rujie; YUAN Baozong

    2001-01-01

    This paper presents a fuzzy-basedmethod to locate the position and the size of irises ina head-shoulder image with plain background. Thismethod is composed of two stages: the face region es-timation stage and the eye feature extraction stage.In the first stage, a region growing method is adoptedto estimate the face region. In the second stage, thecoarse eye area is firstly extracted based on the loca-tion of the nasion, and the deformable template al-gorithm is then applied to eye area to determine theposition and the size of irises. Experimental resultsshow the efficiency and robustness of this method.

  11. Large faces in Poisson hyperplane mosaics

    CERN Document Server

    Hug, Daniel; 10.1214/09-AOP510

    2010-01-01

    A generalized version of a well-known problem of D. G. Kendall states that the zero cell of a stationary Poisson hyperplane tessellation in ${\\mathbb{R}}^d$, under the condition that it has large volume, approximates with high probability a certain definite shape, which is determined by the directional distribution of the underlying hyperplane process. This result is extended here to typical $k$-faces of the tessellation, for $k\\in\\{2,...,d-1\\}$. This requires the additional condition that the direction of the face be in a sufficiently small neighbourhood of a given direction.

  12. 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…

  13. Faces with Light Makeup Are Better Recognized than Faces with Heavy Makeup.

    Science.gov (United States)

    Tagai, Keiko; Ohtaka, Hitomi; Nittono, Hiroshi

    2016-01-01

    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. PMID:26973553

  14. 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…

  15. Animal, but Not Human, Faces Engage the Distributed Face Network in Adolescents with Autism

    Science.gov (United States)

    Whyte, Elisabeth M.; Behrmann, Marlene; Minshew, Nancy J.; Garcia, Natalie V.; Scherf, K. Suzanne

    2016-01-01

    Multiple hypotheses have been offered to explain the impaired face-processing behavior and the accompanying underlying disruptions in neural circuitry among individuals with autism. We explored the specificity of atypical face-processing activation and potential alterations to fusiform gyrus (FG) morphology as potential underlying mechanisms.…

  16. 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…

  17. 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

  18. Comparing Student Performance in Online and Face-to-Face Delivery Modalities

    Science.gov (United States)

    Helms, Jeffrey L.

    2014-01-01

    The purpose of the research was to compare student performance in an online or face-to-face (F2F) required Psychology course on three distinct sets of variables (i.e., pre-course, course, and post-course variables). Analyses revealed mixed significant and nonsignificant results. Students did not differ in terms of such variables as hours…

  19. Finding Support in Moodle: A Face-to-Face Chemistry Course for Engineers

    Science.gov (United States)

    de Vega, Carolina Armijo; McAnally-Salas, Lewis

    2011-01-01

    The aim of this paper was to know the students' perceptions of using online support in a chemistry course. To achieve this objective, a qualitative research was conducted over a chemistry course that was imparted in a face-to-face modality using a LMS (learning management system) for on-line support. The supports available in the LMS were forums,…

  20. A Comparison of Student Views on Web-Based and Face-to-Face Higher Education

    Science.gov (United States)

    Sad, Suleyman Nihat; Goktas, Ozlem; Bayrak, Ilhami

    2014-01-01

    The study aimed to describe and compare the perceptions of web-based distance education students and campus-based face-to-face students about the quality of education provided in their programs with regard to variables including gender, marital status, and employment status. A baseline descriptive survey design and complementary "ex post…

  1. Learning Style and Effectiveness of Online and Face-to-Face Instruction.

    Science.gov (United States)

    Neuhauser, Charlotte

    2002-01-01

    Describes a study that compared two sections of the same course: one online and asynchronous, the other face-to-face. Examined gender, age, learning preferences and styles, media familiarity, effectiveness of tasks, course effectiveness, test grades, and final grades; and concluded that equivalent learning activities can be equally effective for…

  2. Fostering participation in learning networks by using reward systems and face-to-face meetings

    NARCIS (Netherlands)

    Hummel, Hans; Tattersall, Colin; Burgos, Daniel; Brouns, Francis; Koper, Rob

    2006-01-01

    Hummel, H. G. K., Tattersall, C., Burgos, D., Brouns, F. M. R., & Koper, E. J. R. (Submitted). Fostering participation in learning networks by using reward systems and face-to-face meetings. In Proceedings of ICALT 2006 Conference. July 5-7, Kerkrade, The Netherlands

  3. Parent Education for Dialogic Reading: Online and Face-to-Face Delivery Methods

    Science.gov (United States)

    Beschorner, Beth; Hutchison, Amy

    2016-01-01

    This study explored the impact of a parent education program and the contextual factors that influenced the experiences of families in the program. Seventeen parents completed a 9-week, face-to-face program and 15 parents completed a similar online program. This study was designed as a multiple case study and utilized multimethods for data…

  4. Affinities, Seeing and Feeling Like Family: Exploring Why Children Value Face-to-Face Contact

    Science.gov (United States)

    Davies, Hayley

    2012-01-01

    This article examines face-to-face contact as a way in which children practise, imagine and constitute their closest relationships. Based on the findings of a qualitative school-based study, the article shows that children regard "seeing" as a family and relational practice that enables them to feel connected to and develop affinities with others.…

  5. 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…

  6. 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

  7. 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…

  8. Student Success in Face-To-Face and Distance Teleclass Environments: A matter of contact?

    Directory of Open Access Journals (Sweden)

    Teddi S. Deka

    2006-06-01

    Full Text Available Learning from a distance continues to gain popularity. An influx of traditional, and even on-campus students attest to its flexibility, but are they equipped to succeed in a low-contact distance environment versus a face-to-face, on-campus environment? This research explored whether several variables including background, preparedness and self-perceptions assessed within the first week of class contributed differently to the success of students completing one-way distance teleclasses (n = 35 versus students completing the same classes in face-to-face, on-campus environments (n = 64. The distance students were less successful than face-to-face students when exam grades were examined (A, B, C versus D, F, drop. For distance learners, higher reading comprehension and scholastic competence were indicative of exam grade success. Student-initiated contact with the instructor was marginally related to distance student success. For face-to-face learners, reading comprehension, reading rate and lower athletic competence was indicative of exam grade success. Suggestions to help students decide whether distance learning is right for them and ways to support distance learners in low-contact environments are discussed.

  9. Friends with Faces: How Social Networks Can Enhance Face Recognition and Vice Versa

    Science.gov (United States)

    Mavridis, Nikolaos; Kazmi, Wajahat; Toulis, Panos

    The "friendship" relation, a social relation among individuals, is one of the primary relations modeled in some of the world's largest online social networking sites, such as "FaceBook." On the other hand, the "co-occurrence" relation, as a relation among faces appearing in pictures, is one that is easily detectable using modern face detection techniques. These two relations, though appearing in different realms (social vs. visual sensory), have a strong correlation: faces that co-occur in photos often belong to individuals who are friends. Using real-world data gathered from "Facebook," which were gathered as part of the "FaceBots" project, the world's first physical face-recognizing and conversing robot that can utilize and publish information on "Facebook" was established. We present here methods as well as results for utilizing this correlation in both directions. Both algorithms for utilizing knowledge of the social context for faster and better face recognition are given, as well as algorithms for estimating the friendship network of a number of individuals given photos containing their faces. The results are quite encouraging. In the primary example, doubling of the recognition accuracy as well as a sixfold improvement in speed is demonstrated. Various improvements, interesting statistics, as well as an empirical investigation leading to predictions of scalability to much bigger data sets are discussed.

  10. When Topics Are Controversial: Is It Better to Discuss Them Face-to-Face or Online?

    Science.gov (United States)

    Meyer, Katrina A.

    2006-01-01

    Ten students in a graduate-level course on Historical and Policy Perspectives in Higher Education held face-to-face and online discussions on five controversial topics: diversity, academic freedom, political tolerance, affirmative action, and gender. Upon completion of each discussion, they assessed their comfort, honesty, concern for others'…

  11. 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.

  12. Shared or separate mechanisms for self-face and other-face processing? Evidence from adaptation.

    Directory of Open Access Journals (Sweden)

    Brendan eRooney

    2012-03-01

    Full Text Available Evidence that self-face recognition is dissociable from general face recognition hasimportant implications both for models of social cognition and for our understanding offace recognition. In two studies, we examine how adaptation affects the perception ofpersonally familiar faces, and we use a visual adaptation paradigm to investigatewhether the neural mechanisms underlying the recognition of one’s own and other facesare shared or separate. In Study 1 we show that the representation of personally familiarfaces is rapidly updated by visual experience with unfamiliar faces, so that theperception of one’s own face and a friend’s face is altered by a brief period ofadaptation to distorted unfamiliar faces. In Study 2, participants adapted to images oftheir own and a friend’s face distorted in opposite directions; the contingent aftereffectswe observe are indicative of separate neural populations, but we suggest that thesereflect coding of facial identity rather than of the categories ‘self’ and ‘other’.

  13. Faculty Perceptions of Moving a Face-to-Face Course to Online Instruction

    Science.gov (United States)

    Chiasson, Kari; Terras, Katherine; Smart, Kathy

    2015-01-01

    This qualitative study explores the experiences of 10 faculty members who developed and taught an online course that they had previously taught in a face-to-face classroom. The categories from the data analysis included planning, implementation, and reflection. Within the categories, eight themes emerged from the data. The themes addressed…

  14. 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…

  15. Comparing Asynchronous Online Discussions and Face-to-Face Discussions in a Classroom Setting

    Science.gov (United States)

    Wang, Qiyun; Woo, Huay Lit

    2007-01-01

    The purpose of this study is to investigate the perceived differences between asynchronous online discussions and face-to-face discussions in a classroom setting. The students' reflections were analysed by following a qualitative research approach. The results showed that atmosphere, response, efficiency, interactivity and communication were the…

  16. 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…

  17. 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…

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

    NARCIS (Netherlands)

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

    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

  19. Faces with Light Makeup Are Better Recognized than Faces with Heavy Makeup

    Science.gov (United States)

    Tagai, Keiko; Ohtaka, Hitomi; Nittono, Hiroshi

    2016-01-01

    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. PMID:26973553

  20. 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…

  1. Face-to-Face or Distance Training: Two Different Approaches To Motivate SMEs to Learn.

    Science.gov (United States)

    Lawless, Naomi; Allan, John; O'Dwyer, Michele

    2000-01-01

    Two approaches to training for small/medium-sized enterprises were compared: a British distance learning program and an Irish program offering face-to-face training for micro-enterprises. Both used constructivist, collaborative, and reflective methods. Advantages and disadvantages of each approach were identified. (SK)

  2. 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.

  3. Technology Confidence, Competence and Problem Solving Strategies: Differences within Online and Face-to-Face Formats

    Science.gov (United States)

    Peterson, Sharon L.; Palmer, Louann Bierlein

    2011-01-01

    This study identified the problem solving strategies used by students within a university course designed to teach pre-service teachers educational technology, and whether those strategies were influenced by the format of the course (i.e., face-to-face computer lab vs. online). It also examined to what extent the type of problem solving strategies…

  4. Face-to-Face, Buzz and Knowledge Bases: Socio-Spatial Implications for Learning, Innovation and Innovation Policy

    OpenAIRE

    Asheim, Björn; Coenen, Lars; Vang-Lauridsen, Jan

    2007-01-01

    Whilst concurring with the new streams of literature in geography that highlight the importance of face-to-face and ‘buzz’ in the globalizing learning economy, we argue that this literature is misleading on three interrelated counts. Firstly, it conflates face-to-face and buzz; secondly, it fails to distinguish between the importance of face-to-face and buzz for industries drawing on different knowledge bases; and, thirdly, these conceptual inadequacies lead to an exaggeration of the importan...

  5. Face-to-Face, Buzz and Knowledge Bases: Socio-spatial implications for learning and innovation policy

    OpenAIRE

    Bjørn, Asheim; Coenen, Lars; Vang, Jan

    2005-01-01

    While concurring with the new streams of literature in geography that highlight the importance of face-to-face and buzz in the globalizing learning economy, the article argues that this literature is misleading on three interrelated accounts. Firstly, it conflates face-to-face and buzz; secondly, it fails to distinguish between the importance of face-to-face and buzz for industries drawing on different knowledge bases, and thirdly, these conceptual inadequacies lead to an exaggeration of the ...

  6. An Empirical Investigation of Factors Affecting Web-Based and Face-to-Face Student Satisfactions with Course Website

    OpenAIRE

    Qidong Cao; Xue Bai; Thomas E. Griffin

    2012-01-01

    Course Websites have been considered an increasingly important part of online as well as face-to-face education delivery formats. While a vast body of literature has been devoted to comparison of the online and traditional face-to-face courses, little research of student satisfaction with respect to course Websites differentiated between the online and face-to-face students. In order to improve quality of course Websites, the effort was aimed at identifying important predictors of the satisfa...

  7. Activity in the right fusiform face area predicts the behavioural advantage for the perception of familiar faces.

    Science.gov (United States)

    Weibert, Katja; Andrews, Timothy J

    2015-08-01

    People are extremely proficient at discriminating the identity of familiar faces, but are significantly worse with unfamiliar faces. Despite this clear behavioural difference in perception, the neural correlates of the advantage for familiar faces remain unclear. Here, we use an individual differences approach to explore the link between neural responses in face-selective regions and the behavioural advantage for the perception of familiar faces. First, we compared performance on an identity matching task with either familiar or unfamiliar faces. We found that participants were significantly better at matching the identity of familiar compared to unfamiliar faces. Next, we used fMRI to measure the response to familiar and unfamiliar faces. Consistent with the behavioural data, there was a significant difference in the neural response to familiar and unfamiliar faces in face-selective regions. Finally, we asked whether interindividual variation in behavioural performance could be predicted by corresponding variation in fMRI response. We found a significant correlation in the right fusiform face area (rFFA) between the difference in response to familiar and unfamiliar faces and corresponding differences on the face-matching task. That is, participants who showed a larger response to familiar compared to unfamiliar faces in the rFFA also matched familiar faces much more accurately than unfamiliar faces. No other face-selective region showed a correlation between neural and matching accuracy. These results provide a link between activity in the rFFA and the perception of familiar faces. PMID:26187507

  8. Neural substrates of species-dependent visual processing of faces: use of morphed faces.

    Science.gov (United States)

    Yamada, Emi; Ogata, Katsuya; Kishimoto, Junji; Tanaka, Mutsuhide; Urakawa, Tomokazu; Yamasaki, Takao; Tobimatsu, Shozo

    2015-05-01

    Face identification and categorization are essential for social communication. The N170 event-related potential (ERP) is considered to be a biomarker of face perception. To elucidate the neural basis of species-dependent face processing, we recorded 128-ch high-density ERPs in 14 healthy adults while they viewed the images of morphed faces. The morphed stimuli contained different proportions of human and monkey faces, and the species boundary was shifted away from the center of the morph continuum. Three experiments were performed to determine how task requirement, facial orientation, and spatial frequency (SF) of visual stimuli affected ERPs. In an equal SF condition, the latency, and amplitude of the occipital P100 for upright faces were modulated in a monotonic-like fashion by the level of morphing. In contrast, the N170 latency for upright faces was modulated in a step-like fashion, showing a flexion point that may reflect species discrimination. Although N170 amplitudes for upright faces were not modulated by morph level, they were modulated in a monotonic-like fashion by inverted faces. The late positive (LP) component (350-550 msec) in the parietal region was modulated in a U-shaped function by morph level during a categorization task, but not in a simple reaction task. These results suggest that P100 reflects changes in the physical properties of faces and that N170 is involved in own-species selectivity. The LP component seems to represent species categorization that occurs 350 msec after stimulus onset. PMID:25975645

  9. 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.

  10. 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…

  11. 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.

  12. Face-subgroups of permutation polytopes

    OpenAIRE

    Haase, Christian

    2015-01-01

    In [Baumeister, H., Nill, Paffenholz, On permutation polytopes, Adv. Math. 222 (2009), 431-452 / arXiv:0709.1615] we conjectured a characterization of subgroups H of a permutation group G so that, on the level of permutation polytopes, P(H) is a face of P(G). Here we present the embarrassingly simple proof of this conjecture.

  13. 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...

  14. 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.

  15. 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

  16. 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.

  17. A slave interface circuitry facing to VMEbus

    International Nuclear Information System (INIS)

    A slave interface circuitry facing to VMEbus will be introduced briefly. This interface circuitry was developed for the multi-event selection electronics MUSE used for the medium energy nuclear action experiment system. This interface circuitry can support 32 bit single cycle data transfer and Chained Block Data Transfer (i.e. CB LT)

  18. A Memory Advantage for Untrustworthy Faces

    Science.gov (United States)

    Rule, Nicholas O.; Slepian, Michael L.; Ambady, Nalini

    2012-01-01

    Inferences of others' social traits from their faces can influence how we think and behave towards them, but little is known about how perceptions of people's traits may affect downstream cognitions, such as memory. Here we explored the relationship between targets' perceived social traits and how well they were remembered following a single brief…

  19. Does Face Inversion Change Spatial Frequency Tuning?

    Science.gov (United States)

    Willenbockel, Verena; Fiset, Daniel; Chauvin, Alan; Blais, Caroline; Arguin, Martin; Tanaka, James W.; Bub, Daniel N.; Gosselin, Frederic

    2010-01-01

    The authors examined spatial frequency (SF) tuning of upright and inverted face identification using an SF variant of the Bubbles technique (F. Gosselin & P. G. Schyns, 2001). In Experiment 1, they validated the SF Bubbles technique in a plaid detection task. In Experiments 2a-c, the SFs used for identifying upright and inverted inner facial…

  20. Facing the challenges of a competitive market

    International Nuclear Information System (INIS)

    British Energy is one of the world's largest nuclear generating companies. This paper describes the business environment in which the company competes, its strategic responses to the challenges it faces, and gives some conclusions regarding the priorities for the nuclear generation industry if it is to thrive as a mainstream source of energy. (author)

  1. 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)

  2. Design considerations for mechanical face seals

    Science.gov (United States)

    Ludwig, L. P.; Greiner, H. F.

    1980-01-01

    Two companion reports deal with design considerations for improving performance of mechanical face seals, one of family of devices used in general area of fluid sealing of rotating shafts. One report deals with basic seal configuration and other with lubrication of seal.

  3. 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…

  4. 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

  5. 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.

  6. 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…

  7. Plasma facing materials for fusion reactor applications

    OpenAIRE

    Gonzalez Arrabal, Raquel; Gordillo Garcia, Nuria; Rivera de Mena, Antonio; Alvarez Ruiz, Jesus; Garoz, D.; Perlado Martin, Jose Manuel

    2012-01-01

    The lack of plasma facing materials (PFM) able to withstand the severe magnetiicffusiion radiation conditions expected in fusion reactors is the actual bottle In both fusions approaches energy is released in the form of kinetic energy of neck for fusion to becomes a reality.

  8. [Face necrotizing fasciitis following spinocellular epithelioma excision].

    Science.gov (United States)

    Gindre, S; Dellamonica, J; Couadau, E; Carles, M; Vandenbos, F; Delgiudice, P; Grimaud, D; Ichai, C

    2005-06-01

    Necrotizing fasciitis is a bacterial dermo-hypodermitis with superficial aponevrosis necrosis due to Streptococcus pyogenes. Head and neck region are some rare localization of this infection especially after surgery. We report herein a case of a face necrotizing fasciitis following minor face surgery. A 86 year-old Caucasian male without any antecedents, nor treatment, has been operated for a fronthead spinocellular epithelioma under local anesthesia. Twelve hours later, a severe pain localized to the face occurred, with sleeplessness, followed up with a face orbitary oedema and fever. Twenty-four hours later, an intravenous antibiotherapy was therefore started and surgical treatment was performed as soon as the diagnosis of necrotizing fasciitis was considered. An important inflammatory oedema was noticed, associated to a large necrotic softening of the face, the eyelid and the neck sub-cutaneous tissues. Then, the patient has been transferred in intensive care unit because multi-organ failure clinical and biological signs occurred. Pre-operatory bacteriological samples culture identified Streptococcus pyogenes. Repeated surgical explorations and debridement (excision, cleaning, draining and bandages recovery) were performed daily as needed until all the necrotic tissue was all eradicated. The antibiotherapy was prescribed to totalised 15 days. Our report underlines the importance of an early recognition of the diagnosis of soft tissue infection, because early surgical treatment has a better prognosis and antibiotic treatment alone is inefficient for the recovery. Alert is delivered by the local signs quickly followed up by skin changes. Anti-inflammatory therapy must be avoid in case of any soft tissue infection sign: they may increase the lesions, hide alarm signs and delay surgical treatment. PMID:15963844

  9. Block error correction codes for face recognition

    Science.gov (United States)

    Hussein, Wafaa R.; Sellahewa, Harin; Jassim, Sabah A.

    2011-06-01

    Face recognition is one of the most desirable biometric-based authentication schemes to control access to sensitive information/locations and as a proof of identity to claim entitlement to services. The aim of this paper is to develop block-based mechanisms, to reduce recognition errors that result from varying illumination conditions with emphasis on using error correction codes. We investigate the modelling of error patterns in different parts/blocks of face images as a result of differences in illumination conditions, and we use appropriate error correction codes to deal with the corresponding distortion. We test the performance of our proposed schemes using the Extended Yale-B Face Database, which consists of face images belonging to 5 illumination subsets depending on the direction of light source from the camera. In our experiments each image is divided into three horizontal regions as follows: region1, three rows above the eyebrows, eyebrows and eyes; region2, nose region and region3, mouth and chin region. By estimating statistical parameters for errors in each region we select suitable BCH error correction codes that yield improved recognition accuracy for that particular region in comparison to applying error correction codes to the entire image. Discrete Wavelet Transform (DWT) to a depth of 3 is used for face feature extraction, followed by global/local binarization of coefficients in each subbands. We shall demonstrate that the use of BCH improves separation of the distribution of Hamming distances of client-client samples from the distribution of Hamming distances of imposter-client samples.

  10. A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans

    Science.gov (United States)

    Farzmahdi, Amirhossein; Rajaei, Karim; Ghodrati, Masoud; Ebrahimpour, Reza; Khaligh-Razavi, Seyed-Mahdi

    2016-01-01

    Converging reports indicate that face images are processed through specialized neural networks in the brain –i.e. face patches in monkeys and the fusiform face area (FFA) in humans. These studies were designed to find out how faces are processed in visual system compared to other objects. Yet, the underlying mechanism of face processing is not completely revealed. Here, we show that a hierarchical computational model, inspired by electrophysiological evidence on face processing in primates, is able to generate representational properties similar to those observed in monkey face patches (posterior, middle and anterior patches). Since the most important goal of sensory neuroscience is linking the neural responses with behavioral outputs, we test whether the proposed model, which is designed to account for neural responses in monkey face patches, is also able to predict well-documented behavioral face phenomena observed in humans. We show that the proposed model satisfies several cognitive face effects such as: composite face effect and the idea of canonical face views. Our model provides insights about the underlying computations that transfer visual information from posterior to anterior face patches. PMID:27113635

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

    Directory of Open Access Journals (Sweden)

    Florian Bublatzky

    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.

  12. Salient cues from faces, bodies and scenes influence observers’ face expressions, fixations and pupil size

    Directory of Open Access Journals (Sweden)

    Mariska Esther Kret

    2013-12-01

    Full Text Available 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 context on the recognition of facial expressions. This study measured physiological responses to face-body-scene combinations. Participants viewed emotionally (incongruent face-body and body-scene pairs whilst eye fixations, pupil-size and electromyography (EMG responses were recorded. Participants focused more on angry and fearful vs. happy or neutral cues, independent of the source and relatively independent from emotional incongruence. Moreover, angry faces combined with angry bodies and angry bodies viewed in an aggressive social scene context elicited greatest pupil dilation. Participants' face expressions matched the valence of the stimuli but when face-body compounds were shown, the observed facial expression influenced EMG responses more than the postures. Our results show that threatening signals from faces, bodies and scenes attract attention, induce arousal, and evoke congruent facial reactions.

  13. Passing faces: sequence-dependent variations in the perceptual processing of emotional faces.

    Science.gov (United States)

    Karl, Christian; Hewig, Johannes; Osinsky, Roman

    2016-10-01

    There is broad evidence that contextual factors influence the processing of emotional facial expressions. Yet temporal-dynamic aspects, inter alia how face processing is influenced by the specific order of neutral and emotional facial expressions, have been largely neglected. To shed light on this topic, we recorded electroencephalogram from 168 healthy participants while they performed a gender-discrimination task with angry and neutral faces. Our event-related potential (ERP) analyses revealed a strong emotional modulation of the N170 component, indicating that the basic visual encoding and emotional analysis of a facial stimulus happen, at least partially, in parallel. While the N170 and the late positive potential (LPP; 400-600 ms) were only modestly affected by the sequence of preceding faces, we observed a strong influence of face sequences on the early posterior negativity (EPN; 200-300 ms). Finally, the differing response patterns of the EPN and LPP indicate that these two ERPs represent distinct processes during face analysis: while the former seems to represent the integration of contextual information in the perception of a current face, the latter appears to represent the net emotional interpretation of a current face. PMID:26599470

  14. 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.

  15. A Shape-Based Account for Holistic Face Processing

    Science.gov (United States)

    Zhao, Mintao; Bülthoff, Heinrich H.; Bülthoff, Isabelle

    2016-01-01

    Faces are processed holistically, so selective attention to 1 face part without any influence of the others often fails. In this study, 3 experiments investigated what type of facial information (shape or surface) underlies holistic face processing and whether generalization of holistic processing to nonexperienced faces requires extensive…

  16. Automatic bootstrapping of a morphable face model using multiple components

    NARCIS (Netherlands)

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

    2009-01-01

    We present a new bootstrapping algorithm to automatically enhance a 3D morphable face model with new face data. Our algorithm is based on a morphable model fitting method that uses a set of predefined face components. This fitting method produces accurate model fits to 3D face data with noise and ho

  17. Model-based reconstruction for illumination variation in face images

    NARCIS (Netherlands)

    Boom, B.J.; Spreeuwers, L.J.; Veldhuis, R.N.J.

    2008-01-01

    We propose a novel method to correct for arbitrary illumination variation in the face images. The main purpose is to improve recognition results of face images taken under uncontrolled illumination conditions. We correct the illumination variation in the face images using a face shape model, which a

  18. 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…

  19. 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…

  20. Neural Substrates for Episodic Encoding and Recognition of Unfamiliar Faces

    Science.gov (United States)

    Hofer, Alex; Siedentopf, Christian M.; Ischebeck, Anja; Rettenbacher, Maria A.; Verius, Michael; Golaszewski, Stefan M.; Felber, Stephan; Fleischhacker, W. Wolfgang

    2007-01-01

    Functional MRI was used to investigate brain activation in healthy volunteers during encoding of unfamiliar faces as well as during correct recognition of newly learned faces (CR) compared to correct identification of distractor faces (CF), missed alarms (not recognizing previously presented faces, MA), and false alarms (incorrectly recognizing…

  1. 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. PMID:27352016

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

    Directory of Open Access Journals (Sweden)

    Marina A Pavlova

    Full Text Available 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.

  3. 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. PMID:27352016

  4. 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.

  5. Face Recognition and Growth Prediction using a 3D Morphable Face Model

    OpenAIRE

    Scherbaum, Kristina

    2007-01-01

    We present two different techniques and applications that are based on the 3D Morphable Face Model. In the first part of this thesis, we develop a new top-down approach to 3D data analysis by fitting a 3D Morphable Face Model to 3D scans of faces. The algorithm is specifically designed for scans which were recorded in a perspective projection. In an analysis-by-synthesis approach, shape, texture, pose and illumination are optimized simultaneously. Starting from raw 3D s...

  6. Efficient search for a face by chimpanzees (Pan troglodytes)

    OpenAIRE

    Tomonaga, Masaki; Imura, Tomoko

    2015-01-01

    The face is quite an important stimulus category for human and nonhuman primates in their social lives. Recent advances in comparative-cognitive research clearly indicate that chimpanzees and humans process faces in a special manner; that is, using holistic or configural processing. Both species exhibit the face-inversion effect in which the inverted presentation of a face deteriorates their perception and recognition. Furthermore, recent studies have shown that humans detect human faces amon...

  7. Active illumination and appearance model for face alignment

    OpenAIRE

    KAHRAMAN, Fatih; Gokmen, M.; DARKNER, Sune; Larsen, Rasmus

    2010-01-01

    Illumination conditions have an explicit effect on the performance of face recognition systems. In particular, varying the illumination upon the face imposes such, complex effects that the identification often fails to provide a stable performance level. In this paper, we propose an approach, integrating face identity and illumination models in order to reach acceptable and stable face recognition rates. For this purpose, Active Appearance Model (A AM) and illumination model of faces are comb...

  8. A novel statistical generative model dedicated to face recognition

    OpenAIRE

    Heusch, Guillaume; Marcel, Sébastien

    2009-01-01

    In this paper, a novel statistical generative model to describe a face is presented, and is applied to the face authentication task. Classical generative models used so far in face recognition, such as Gaussian Mixture Models (GMMs) and Hidden Markov Models (HMMs) for instance, are making strong assumptions on the observations derived from a face image. Indeed, such models usually assume that local observations are independent, which is obviously not the case in a face. The presented model he...

  9. Active illumination and appearance model for face alignment

    OpenAIRE

    KAHRAMAN, Fatih; , Muhittin GÖKMEN; DARKNER, Sune; Larsen, Rasmus

    2010-01-01

    Illumination conditions have an explicit effect on the performance of face recognition systems. In particular, varying the illumination upon the face imposes such complex effects that the identification often fails to provide a stable performance level. In this paper, we propose an approach integrating face identity and illumination models in order to reach acceptable and stable face recognition rates. For this purpose, Active Appearance Model (AAM) and illumination model of faces a...

  10. Random-Profiles-Based 3D Face Recognition System

    OpenAIRE

    Joongrock Kim; Sunjin Yu; Sangyoun Lee

    2014-01-01

    In this paper, a noble nonintrusive three-dimensional (3D) face modeling system for random-profile-based 3D face recognition is presented. Although recent two-dimensional (2D) face recognition systems can achieve a reliable recognition rate under certain conditions, their performance is limited by internal and external changes, such as illumination and pose variation. To address these issues, 3D face recognition, which uses 3D face data, has recently received much attention. However, the perf...

  11. 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.

  12. Deep Feature-based Face Detection on Mobile Devices

    OpenAIRE

    Sarkar, Sayantan; Patel, Vishal M.; Chellappa, Rama

    2016-01-01

    We propose a deep feature-based face detector for mobile devices to detect user's face acquired by the front facing camera. The proposed method is able to detect faces in images containing extreme pose and illumination variations as well as partial faces. The main challenge in developing deep feature-based algorithms for mobile devices is the constrained nature of the mobile platform and the non-availability of CUDA enabled GPUs on such devices. Our implementation takes into account the speci...

  13. Face Processing is Gated by Visual Spatial Attention

    OpenAIRE

    Crist, Roy E.; Chien-Te Wu; Chris Karp; Woldorff, Marty G.

    2008-01-01

    Human perception of faces is widely believed to rely on automatic processing by a domain-specifi c, modular component of the visual system. Scalp-recorded event-related potential (ERP) recordings indicate that faces receive special stimulus processing at around 170 ms poststimulus onset, in that faces evoke an enhanced occipital negative wave, known as the N170, relative to the activity elicited by other visual objects. As predicted by modular accounts of face processing, this early face-spec...

  14. Famous Faces Demand Attention Due to Reduced Inhibitory Processing

    OpenAIRE

    Machado, Liana; Guiney, Hayley; Mitchell, Andrew

    2011-01-01

    People have particular difficulty ignoring distractors that depict faces. This phenomenon has been attributed to the high level of biological significance that faces carry. The current study aimed to elucidate the mechanism by which faces gain processing priority. We used a focused attention paradigm that tracks the influence of a distractor over time and provides a measure of inhibitory processing. Upright famous faces served as test stimuli and inverted versions of the faces as well as upri...

  15. 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…

  16. Guided online or face-to-face cognitive behavioral treatment for insomnia: A randomized wait-list controlled trial

    NARCIS (Netherlands)

    J. Lancee; A. van Straten; N. Morina; V. Kaldo; J.H. Kamphuis

    2016-01-01

    Study Objectives: To compare the efficacy of guided online and individual face-to-face cognitive behavioral treatment for insomnia (CBT-I) to a wait-list condition. Methods: A randomized controlled trial comparing three conditions: guided online; face-to-face; wait-list. Posttest measurements were a

  17. An Analysis Comparing Student Knowledge Acquisition in a Traditional Face-to-Face Classroom to a Hybrid Course

    Science.gov (United States)

    Murphy, Colleen

    2011-01-01

    A problem exists regarding supportive evidence to determine the differences in student knowledge acquisition at the secondary level between a traditional face-to-face classroom and a hybrid course. The purpose of this quasi-experimental study was to compare student knowledge acquisition in a face-to-face traditional classroom, where direct…

  18. 77 FR 2611 - Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee

    Science.gov (United States)

    2012-01-18

    ... Internal Revenue Service Open Meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project... meeting of the Taxpayer Advocacy Panel Face-to-Face Service Methods Project Committee will be conducted... Project Committee will be held Tuesday, February 14, 2012, at 2 p.m. Eastern Time via telephone...

  19. The Face in the Crowd Effect Unconfounded: Happy Faces, Not Angry Faces, Are More Efficiently Detected in Single- and Multiple-Target Visual Search Tasks

    Science.gov (United States)

    Becker, D. Vaughn; Anderson, Uriah S.; Mortensen, Chad R.; Neufeld, Samantha L.; Neel, Rebecca

    2011-01-01

    Is it easier to detect angry or happy facial expressions in crowds of faces? The present studies used several variations of the visual search task to assess whether people selectively attend to expressive faces. Contrary to widely cited studies (e.g., Ohman, Lundqvist, & Esteves, 2001) that suggest angry faces "pop out" of crowds, our review of…

  20. 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…