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Relevant bibliographies by topics / Human face recognition / Dissertations / Theses

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Dissertations / Theses on the topic 'Human face recognition'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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1

Wong, Vincent. "Human face recognition /." Online version of thesis, 1994. http://hdl.handle.net/1850/11882.

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2

Ener, Emrah. "Recognition Of Human Face Expressions." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/3/12607521/index.pdf.

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In this study a fully automatic and scale invariant feature extractor which does not require manual initialization or special equipment is proposed. Face location and size is extracted using skin segmentation and ellipse fitting. Extracted face region is scaled to a predefined size, later upper and lower facial templates are used for feature extraction. Template localization and template parameter calculations are carried out using Principal Component Analysis. Changes in facial feature coordinates between analyzed image and neutral expression image are used for expression classification. Perf

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3

Batur, Aziz Umit. "Illumination-robust face recognition." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/15440.

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4

Zou, Weiwen. "Face recognition from video." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1431.

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5

Lee, Colin K. "Infrared face recognition." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Jun%5FLee%5FColin.pdf.

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Thesis (M.S. in Electrical Engineering)--Naval Postgraduate School, June 2004.<br>Thesis advisor(s): Monique P. Fargues, Gamani Karunasiri. Includes bibliographical references (p. 135-136). Also available online.

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6

Gangam, Priyanka Reddy. "Recognizing Face Sketches by Human Volunteers." Youngstown State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1297198615.

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7

Tan, Teewoon. "HUMAN FACE RECOGNITION BASED ON FRACTAL IMAGE CODING." University of Sydney. Electrical and Information Engineering, 2004. http://hdl.handle.net/2123/586.

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Human face recognition is an important area in the field of biometrics. It has been an active area of research for several decades, but still remains a challenging problem because of the complexity of the human face. In this thesis we describe fully automatic solutions that can locate faces and then perform identification and verification. We present a solution for face localisation using eye locations. We derive an efficient representation for the decision hyperplane of linear and nonlinear Support Vector Machines (SVMs). For this we introduce the novel concept of $\rho$ and $\eta$ prototypes

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8

Tan, Teewoon. "HUMAN FACE RECOGNITION BASED ON FRACTAL IMAGE CODING." Thesis, The University of Sydney, 2003. http://hdl.handle.net/2123/586.

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Human face recognition is an important area in the field of biometrics. It has been an active area of research for several decades, but still remains a challenging problem because of the complexity of the human face. In this thesis we describe fully automatic solutions that can locate faces and then perform identification and verification. We present a solution for face localisation using eye locations. We derive an efficient representation for the decision hyperplane of linear and nonlinear Support Vector Machines (SVMs). For this we introduce the novel concept of $\rho$ and $\eta$ prototypes

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9

Tibbalds, Adam Dominic. "Three dimensional human face acquisition for recognition." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624854.

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10

Low, Boon Kee. "Computer extraction of human faces." Thesis, De Montfort University, 1999. http://hdl.handle.net/2086/10668.

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Due to the recent advances in visual communication and face recognition technologies, automatic face detection has attracted a great deal of research interest. Being a diverse problem, the development of face detection research has comprised contributions from researchers in various fields of sciences. This thesis examines the fundamentals of various face detection techniques implemented since the early 70's. Two groups of techniques are identified based on their approach in applying face knowledge as a priori: feature-based and image-based. One of the problems faced by the current feature-bas

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11

Huang, Jian. "Discriminant analysis algorithms for face recognition." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/655.

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12

Kumar, Sooraj. "Face recognition with variation in pose angle using face graphs /." Online version of thesis, 2009. http://hdl.handle.net/1850/9482.

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13

Kuhn, Lisa Katharina. "Emotion recognition in the human face and voice." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11216.

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At a perceptual level, faces and voices consist of very different sensory inputs and therefore, information processing from one modality can be independent of information processing from another modality (Adolphs & Tranel, 1999). However, there may also be a shared neural emotion network that processes stimuli independent of modality (Peelen, Atkinson, & Vuilleumier, 2010) or emotions may be processed on a more abstract cognitive level, based on meaning rather than on perceptual signals. This thesis therefore aimed to examine emotion recognition across two separate modalities in a within-subje

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14

Eriksson, Anders. "3-D face recognition." Thesis, Stellenbosch : Stellenbosch University, 1999. http://hdl.handle.net/10019.1/51090.

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Thesis (MEng) -- Stellenbosch University , 1999.<br>ENGLISH ABSTRACT: In recent years face recognition has been a focus of intensive research but has still not achieved its full potential, mainly due to the limited abilities of existing systems to cope with varying pose and illumination. The most popular techniques to overcome this problem are the use of 3-D models or stereo information as this provides a system with the necessary information about the human face to ensure good recognition performance on faces with largely varying poses. In this thesis we present a novel approach to vie

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15

Pan, Wenbo. "Real-time human face tracking." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0018/MQ55535.pdf.

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16

Wickham, Lee H. V. "Attractiveness and distinctiveness of the human face." Thesis, Lancaster University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322342.

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17

Tran, Thao, and Nathalie Tkauc. "Face recognition and speech recognition for access control." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-39776.

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This project is a collaboration with the company JayWay in Halmstad. In order to enter theoffice today, a tag-key is needed for the employees and a doorbell for the guests. If someonerings the doorbell, someone on the inside has to open the door manually which is consideredas a disturbance during work time. The purpose with the project is to minimize thedisturbances in the office. The goal with the project is to develop a system that uses facerecognition and speech-to-text to control the lock system for the entrance door. The components used for the project are two Raspberry Pi’s, a 7 inch LCD

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18

Pang, Meng. "Single sample face recognition under complex environment." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/635.

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Single sample per person face recognition (SSPP FR), i.e., recognizing a person with a single face image in the biometric enrolment database only for training, has lots of attractive real-world applications such as criminal identification, law enforcement, access control, video surveillance, just to name a few. This thesis studies two important problems in SSPP FR, i.e., 1) SSPP FR with a standard biometric enrolment database (SSPP-se FR), and 2) SSPP FR with a contaminated biometric enrolment database (SSPP-ce FR). The SSPP-ce FR is more challenging than SSPP-se FR since the enrolment samples

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19

Katadound, Sachin. "Face Recognition: Study and Comparison of PCA and EBGM Algorithms." TopSCHOLAR®, 2004. http://digitalcommons.wku.edu/theses/241.

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Face recognition is a complex and difficult process due to various factors such as variability of illumination, occlusion, face specific characteristics like hair, glasses, beard, etc., and other similar problems affecting computer vision problems. Using a system that offers robust and consistent results for face recognition, various applications such as identification for law enforcement, secure system access, computer human interaction, etc., can be automated successfully. Different methods exist to solve the face recognition problem. Principal component analysis, Independent component analy

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20

Feng, Guo Can. "Face recognition using virtual frontal-view image." HKBU Institutional Repository, 1999. http://repository.hkbu.edu.hk/etd_ra/267.

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21

Saleh, Mohamed Ibrahim. "Using Ears for Human Identification." Thesis, Virginia Tech, 2007. http://hdl.handle.net/10919/33158.

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Biometrics includes the study of automatic methods for distinguishing human beings based on physical or behavioral traits. The problem of finding good biometric features and recognition methods has been researched extensively in recent years. Our research considers the use of ears as a biometric for human recognition. Researchers have not considered this biometric as much as others, which include fingerprints, irises, and faces. This thesis presents a novel approach to recognize individuals based on their outer ear images through spatial segmentation. This approach to recognizing is also good

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22

Cadavid, Steven. "Human Identification Based on Three-Dimensional Ear and Face Models." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_dissertations/516.

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We propose three biometric systems for performing 1) Multi-modal Three-Dimensional (3D) ear + Two-Dimensional (2D) face recognition, 2) 3D face recognition, and 3) hybrid 3D ear recognition combining local and holistic features. For the 3D ear component of the multi-modal system, uncalibrated video sequences are utilized to recover the 3D ear structure of each subject within a database. For a given subject, a series of frames is extracted from a video sequence and the Region-of-Interest (ROI) in each frame is independently reconstructed in 3D using Shape from Shading (SFS). A ﬁdelity measure i

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23

Feng, Yicheng. "Template protecting algorithms for face recognition system." HKBU Institutional Repository, 2007. http://repository.hkbu.edu.hk/etd_ra/832.

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24

Anzellotti, Stefano. "The representation of person identity in the human brain." Thesis, Harvard University, 2014. http://dissertations.umi.com/gsas.harvard:11397.

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Every day we encounter a variety of people, and we need to recognize their identity to interact with them appropriately. The most common ways to recognize a person's identity include the recognition of a face and of a voice. Recognizing a face or a voice is effortless, but the neural mechanisms that enable us to do so are complex. The face of a same person can look very different depending on the viewpoint and it can be partly occluded. Analogously, a voice can sound very different when it is saying different words. The neural mechanisms that enable us to recognize a person's identity need to

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25

Singh, Richa. "Mitigating the effect of covariates in face recognition." Morgantown, W. Va. : [West Virginia University Libraries], 2008. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5990.

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Thesis (Ph. D.)--West Virginia University, 2008.<br>Title from document title page. Document formatted into pages; contains xv, 136 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 125-136).

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26

Xue, Yun. "Non-negative matrix factorization for face recognition." HKBU Institutional Repository, 2007. http://repository.hkbu.edu.hk/etd_ra/815.

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27

Wang, Jin. "An Incremental Multilinear System for Human Face Learning and Recognition." FIU Digital Commons, 2010. http://digitalcommons.fiu.edu/etd/312.

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This dissertation establishes a novel system for human face learning and recognition based on incremental multilinear Principal Component Analysis (PCA). Most of the existing face recognition systems need training data during the learning process. The system as proposed in this dissertation utilizes an unsupervised or weakly supervised learning approach, in which the learning phase requires a minimal amount of training data. It also overcomes the inability of traditional systems to adapt to the testing phase as the decision process for the newly acquired images continues to rely on that same o

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28

Dagnes, Nicole. "3D human face analysis for recognition applications and motion capture." Thesis, Compiègne, 2020. http://www.theses.fr/2020COMP2542.

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Cette thèse se propose comme une étude géométrique de la surface faciale en 3D, dont le but est de fournir un ensemble d'entités, issues du contexte de la géométrie différentielle, à utiliser comme descripteurs faciaux dans les applications d'analyse du visage, comme la reconnaissance faciale et la reconnaissance des expressions faciales. En effet, bien que chaque visage soit unique, tous les visages sont similaires et leurs caractéristiques morphologiques sont les mêmes pour tous les individus. Par conséquent, il est primordial pour l'analyse des visages d'extraire les caractéristiques facial

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29

Chen, Shaokang. "Robust discriminative principal component analysis for face recognition /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18934.pdf.

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30

Akinbola, Akintunde A. "Estimation of image quality factors for face recognition." Morgantown, W. Va. : [West Virginia University Libraries], 2005. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4308.

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Thesis (M.S.)--West Virginia University, 2005.<br>Title from document title page. Document formatted into pages; contains vi, 56 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 52-56).

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31

Ballot, Johan Stephen Simeon. "Face recognition using Hidden Markov Models." Thesis, Stellenbosch : University of Stellenbosch, 2005. http://hdl.handle.net/10019.1/2577.

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This thesis relates to the design, implementation and evaluation of statistical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition ra

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32

Aljarrah, Inad A. "Color face recognition by auto-regressive moving averaging." Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174410880.

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33

Zhao, Zhenchun. "Design of a computer human face recognition system using fuzzy logic." Thesis, University of Huddersfield, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323781.

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34

Phung, Son Lam. "Automatic human face detection in color images." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2003. https://ro.ecu.edu.au/theses/1309.

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Automatic human face detection in digital image has been an active area of research over the past decade. Among its numerous applications, face detection plays a key role in face recognition system for biometric personal identification, face tracking for intelligent human computer interface (HCI), and face segmentation for object-based video coding. Despite significant progress in the field in recent years, detecting human faces in unconstrained and complex images remains a challenging problem in computer vision. An automatic system that possesses a similar capability as the human vision syste

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35

Masip, David. "Feature extraction in face recognition on the use of internal and external features." Saarbrücken VDM Verlag Dr. Müller, 2005. http://d-nb.info/989265706/04.

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36

Louw, Lloyd A. B. "Automated face detection and recognition for a login system." Thesis, Link to the online version, 2007. http://hdl.handle.net/10019/438.

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37

El, Seuofi Sherif M. "Performance Evaluation of Face Recognition Using Frames of Ten Pose Angles." Youngstown State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1198184813.

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38

Shen, Chenyang. "L1-norm local preserving projection and its application." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1388.

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39

Domboulas, Dimitrios I. "Infrared imaging face recognition using nonlinear kernel-based classifiers." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2004. http://library.nps.navy.mil/uhtbin/hyperion/04Dec%5FDomboulas.pdf.

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Thesis (Electrical Engineer and M.S. in Electrical Engineering)--Naval Postgraduate School, Dec. 2004.<br>Thesis Advisor(s): Monique P. Fargues. Includes bibliographical references (p. 107-109). Also available online.

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40

Feng, Yicheng. "Discriminability and security of binary template in face recognition systems." HKBU Institutional Repository, 2012. https://repository.hkbu.edu.hk/etd_ra/1455.

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41

Toure, Zikra. "Human-Machine Interface Using Facial Gesture Recognition." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1062841/.

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This Master thesis proposes a human-computer interface for individual with limited hand movements that incorporate the use of facial gesture as a means of communication. The system recognizes faces and extracts facial gestures to map them into Morse code that would be translated in English in real time. The system is implemented on a MACBOOK computer using Python software, OpenCV library, and Dlib library. The system is tested by 6 students. Five of the testers were not familiar with Morse code. They performed the experiments in an average of 90 seconds. One of the tester was familiar with Mor

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42

Zone, Anthony J. "Face Composite Recognition: Multiple Artists, Large Scale Human Performance and Multivariate Analysis." Youngstown State University / OhioLINK, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1279908902.

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43

Canavan, Shaun. "Face recognition by multi-frame fusion of rotating heads in videos /." Connect to resource online, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1210446052.

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44

Mian, Ajmal Saeed. "Representations and matching techniques for 3D free-form object and face recognition /." Connect to this title, 2006. http://theses.library.uwa.edu.au/adt-WU2007.0046.

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45

Navarathna, Rajitha Dharshana Bandara. "Robust recognition of human behaviour in challenging environments." Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/66235/1/Rajitha%20Dharshana%20Bandara_Navarathna_Thesis.pdf.

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Novel techniques have been developed for the automatic recognition of human behaviour in challenging environments using information from visual and infra-red camera feeds. The techniques have been applied to two interesting scenarios: Recognise drivers' speech using lip movements and recognising audience behaviour, while watching a movie, using facial features and body movements. Outcome of the research in these two areas will be useful in the improving the performance of voice recognition in automobiles for voice based control and for obtaining accurate movie interest ratings based on live au

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46

Zhan, Ce. "Facial expression recognition for multi-player on-line games." School of Computer Science and Software Engineering, 2008. http://ro.uow.edu.au/theses/100.

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Multi-player on-line games (MOGs) have become increasingly popular because of the opportunity they provide for collaboration, communications and interactions. However, compared with ordinary human communication, MOG still has several limitations, especially in the communication using facial expressions. Although detailed facial animation has already been achieved in a number of MOGs, players have to use text commands to control the expressions of avatars. This thesis proposes an automatic expression recognition system that can be integrated into a MOG to control the facial expressions of avata

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47

Arachchige, Somi Ruwan Budhagoda. "Face recognition in low resolution video sequences using super resolution /." Online version of thesis, 2008. http://hdl.handle.net/1850/7770.

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48

Sun, Triu Chiang, and 孫自強. "HUMAN FACE RECOGNITION." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/91139786195229458584.

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49

Lin, Chih-Ho, and 林志和. "Human Face Recognition System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/04537729754713594129.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程所<br>91<br>This study proposes an face recognition system﹒This system has been developed many years﹒Many researcher also proposed many different method﹒Because there are many factors unable to overcome so recognition system have not a good result all the time﹒For example﹐the problem are facial expression﹐varying lighting﹐different quality of capture device﹐face feature extraction etc﹒The issue in this study is using color scenery images to develop recognition system﹒This system can be divided into three parts： First part is face detection﹒Because HSI color sys

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50

HSUEH, Chieh-Jen, and 薛傑仁. "Biometrics on Human Face Recognition." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/76446999423396054679.

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碩士<br>亞洲大學<br>生物資訊學系碩士班<br>98<br>This thesis reviews and compares the pros and cons of several popular theories and methods for face recognize system, such as PCA, ICA, LDA, HMM, SVM, etc. In the end, the thesis also presents our study of “Face Recognition Base on Gini Features and K-L Transform” which was published in ITIA 2010 conference. This study is to improve the performance of Karhunen-Loève transform (KLT) in face recognition of biometrics. A measure of non-uniformity, called Gini index, is used to extract critical blocks of a human face so that the computation needed can be reduced wi

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