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Rozprawy doktorskie na temat „FACE RECOGNITION TECHNIQUES”

Autor: Grafiati

Data publikacji: 11 września 2023

Data aktualizacji: 25 lipca 2025

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1

Ebrahimpour-Komleh, Hossein. "Fractal techniques for face recognition." Thesis, Queensland University of Technology, 2006. https://eprints.qut.edu.au/16289/1/Hossein_Ebrahimpour-Komleh_Thesis.pdf.

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Fractals are popular because of their ability to create complex images using only several simple codes. This is possible by capturing image redundancy and presenting the image in compressed form using the self similarity feature. For many years fractals were used for image compression. In the last few years they have also been used for face recognition. In this research we present new fractal methods for recognition, especially human face recognition. This research introduces three new methods for using fractals for face recognition, the use of fractal codes directly as features, Fracta

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Ebrahimpour-Komleh, Hossein. "Fractal techniques for face recognition." Queensland University of Technology, 2006. http://eprints.qut.edu.au/16289/.

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Fractals are popular because of their ability to create complex images using only several simple codes. This is possible by capturing image redundancy and presenting the image in compressed form using the self similarity feature. For many years fractals were used for image compression. In the last few years they have also been used for face recognition. In this research we present new fractal methods for recognition, especially human face recognition. This research introduces three new methods for using fractals for face recognition, the use of fractal codes directly as features, Fracta

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Heseltine, Thomas David. "Face recognition : two-dimensional and three-dimensional techniques." Thesis, University of York, 2005. http://etheses.whiterose.ac.uk/9880/.

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Sun, Yunlian <1986&gt. "Advanced Techniques for Face Recognition under Challenging Environments." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6355/1/sun_yunlian_tesi.pdf.

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Automatically recognizing faces captured under uncontrolled environments has always been a challenging topic in the past decades. In this work, we investigate cohort score normalization that has been widely used in biometric verification as means to improve the robustness of face recognition under challenging environments. In particular, we introduce cohort score normalization into undersampled face recognition problem. Further, we develop an effective cohort normalization method specifically for the unconstrained face pair matching problem. Extensive experiments conducted on several well know

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Sun, Yunlian <1986&gt. "Advanced Techniques for Face Recognition under Challenging Environments." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6355/.

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Automatically recognizing faces captured under uncontrolled environments has always been a challenging topic in the past decades. In this work, we investigate cohort score normalization that has been widely used in biometric verification as means to improve the robustness of face recognition under challenging environments. In particular, we introduce cohort score normalization into undersampled face recognition problem. Further, we develop an effective cohort normalization method specifically for the unconstrained face pair matching problem. Extensive experiments conducted on several well know

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Gul, Ahmet Bahtiyar. "Holistic Face Recognition By Dimension Reduction." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1056738/index.pdf.

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Face recognition is a popular research area where there are different approaches studied in the literature. In this thesis, a holistic Principal Component Analysis (PCA) based method, namely Eigenface method is studied in detail and three of the methods based on the Eigenface method are compared. These are the Bayesian PCA where Bayesian classifier is applied after dimension reduction with PCA, the Subspace Linear Discriminant Analysis (LDA) where LDA is applied after PCA and Eigenface where Nearest Mean Classifier applied after PCA. All the three methods are implemented on the Olivetti Resear

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Mian, Ajmal Saeed. "Representations and matching techniques for 3D free-form object and face recognition." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0046.

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[Truncated abstract] The aim of visual recognition is to identify objects in a scene and estimate their pose. Object recognition from 2D images is sensitive to illumination, pose, clutter and occlusions. Object recognition from range data on the other hand does not suffer from these limitations. An important paradigm of recognition is model-based whereby 3D models of objects are constructed offline and saved in a database, using a suitable representation. During online recognition, a similar representation of a scene is matched with the database for recognizing objects present in the scene . .

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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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Al-Qatawneh, Sokyna M. S. "3D Facial Feature Extraction and Recognition. An investigation of 3D face recognition: correction and normalisation of the facial data, extraction of facial features and classification using machine learning techniques." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4876.

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Face recognition research using automatic or semi-automatic techniques has emerged over the last two decades. One reason for growing interest in this topic is the wide range of possible applications for face recognition systems. Another reason is the emergence of affordable hardware, supporting digital photography and video, which have made the acquisition of high-quality and high resolution 2D images much more ubiquitous. However, 2D recognition systems are sensitive to subject pose and illumination variations and 3D face recognition which is not directly affected by such environmental change

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Han, Xia. "Towards the Development of an Efficient Integrated 3D Face Recognition System. Enhanced Face Recognition Based on Techniques Relating to Curvature Analysis, Gender Classification and Facial Expressions." Thesis, University of Bradford, 2011. http://hdl.handle.net/10454/5347.

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The purpose of this research was to enhance the methods towards the development of an efficient three dimensional face recognition system. More specifically, one of our aims was to investigate how the use of curvature of the diagonal profiles, extracted from 3D facial geometry models can help the neutral face recognition processes. Another aim was to use a gender classifier employed on 3D facial geometry in order to reduce the search space of the database on which facial recognition is performed. 3D facial geometry with facial expression possesses considerable challenges when it comes face rec

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11

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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12

Bouchech, Hamdi. "Selection of optimal narrowband multispectral images for face recognition." Thesis, Dijon, 2015. http://www.theses.fr/2015DIJOS030/document.

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Les performances des systèmes de reconnaissance des visages en utilisant des images RGB baissent rapidement quand ils sont appliqués dans des conditions d’illumination extrêmes. L’utilisation des images multispectrales représente une alternative prometteuse pour résoudre ce problème. Dans cette thèse on s’intéresse à l’utilisation des images multispectrales visibles pour la reconnaissance des visages humains. Les images multispectrales visibles sont des images capturées à des longueurs d’ondes différentes du spectre visible (band spectral) qui s’étend de 480nm à 720nm. Ces images représentent

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Ben, Said Ahmed. "Multispectral imaging and its use for face recognition : sensory data enhancement." Thesis, Dijon, 2015. http://www.theses.fr/2015DIJOS008/document.

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La recherche en biométrie a connu une grande évolution durant les dernières annéessurtout avec le développement des méthodes de décomposition de visage. Cependant,ces méthodes ne sont pas robustes particulièrement dans les environnements incontrôlés.Pour faire face à ce problème, l'imagerie multispectrale s'est présentée comme une nouvelletechnologie qui peut être utilisée en biométrie basée sur la reconnaissance de visage.Dans tous ce processus, la qualité des images est un facteur majeur pour concevoirun système de reconnaissance fiable. Il est essentiel de se disposer d'images de hautequali

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Ferguson, Eilidh Louise. "Facial identification of children : a test of automated facial recognition and manual facial comparison techniques on juvenile face images." Thesis, University of Dundee, 2015. https://discovery.dundee.ac.uk/en/studentTheses/03679266-9552-45da-9c6d-0f062c4893c8.

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The accurate identification of children from facial photographs could provide a great attribute in the fight against child sexual exploitation, and may also aid in the detection of missing juveniles where comparative material is available. The European Commission is actively pursuing a global alliance for the identification of the victims of child sexual abuse; a task which is considered to be of the utmost importance. Images of child sexual abuse are shared, copied, and distributed online and their origin can be difficult to trace. Current investigations attempting to identify the children wi

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15

Cho, Gyuchoon. "Real Time Driver Safety System." TopSCHOLAR®, 2009. http://digitalcommons.wku.edu/theses/63.

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The technology for driver safety has been developed in many fields such as airbag system, Anti-lock Braking System or ABS, ultrasonic warning system, and others. Recently, some of the automobile companies have introduced a new feature of driver safety systems. This new system is to make the car slower if it finds a driver’s drowsy eyes. For instance, Toyota Motor Corporation announced that it has given its pre-crash safety system the ability to determine whether a driver’s eyes are properly open with an eye monitor. This paper is focusing on finding a driver’s drowsy eyes by using face detecti

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Peyrard, Clément. "Single image super-resolution based on neural networks for text and face recognition." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI083/document.

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Cette thèse porte sur les méthodes de super-résolution (SR) pour l’amélioration des performances des systèmes de reconnaissance automatique (OCR, reconnaissance faciale). Les méthodes de Super-Résolution (SR) permettent de générer des images haute résolution (HR) à partir d’images basse résolution (BR). Contrairement à un rééchantillonage par interpolation, elles restituent les hautes fréquences spatiales et compensent les artéfacts (flou, crénelures). Parmi elles, les méthodes d’apprentissage automatique telles que les réseaux de neurones artificiels permettent d’apprendre et de modéliser la

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Nassar, Alaa S. N. "A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/16917.

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Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability to spoofing. This PhD thesis is focused on the combination of both the face and the left and right irises, in a unified hybrid multimodal biometric identification system using different fusion approaches at the score and rank level. Firstly, the facial features are extracted using a novel multimodal

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Visweswaran, Krishnan. "Face Recognition Technique for Blurred/Unclear Images." Thesis, California State University, Long Beach, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10263528.

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<p> The purpose of this project is to invalidate the existing methods for performing facial recognition. Facial recognition considers many aspects before its actual operations are performed. Many situations must also be considered such as the angle of the camera, the aspect ratio and motion of the object with respect to the camera, and the shutter speed of the camera. There are many techniques that have been implemented for face recognition, but many of these techniques have problems recognizing a blurred image. These detection problems can be eliminated by using three algorithms: illumination

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Muller, Neil Leonard. "Image recognition using the Eigenpicture Technique (with specific applications in face recognition and optical character recognition)." Master's thesis, University of Cape Town, 1998. http://hdl.handle.net/11427/14381.

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Includes bibliographical references.<br>In the first part of this dissertation, we present a detailed description of the eigenface technique first proposed by Sirovich and Kirby and subsequently developed by several groups, most notably the Media Lab at MIT. Other significant contributions have been made by Rockefeller University, whose ideas have culminated in a commercial system known as Faceit. For a different techniques (i.e. not eigenfaces) and a detailed comparison of some other techniques, the reader is referred to [5]. Although we followed ideas in the open literature (we believe there

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Aly, Sherin Fathy Mohammed Gaber. "Techniques for Facial Expression Recognition Using the Kinect." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/89220.

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Facial expressions convey non-verbal cues. Humans use facial expressions to show emotions, which play an important role in interpersonal relations and can be of use in many applications involving psychology, human-computer interaction, health care, e-commerce, and many others. Although humans recognize facial expressions in a scene with little or no effort, reliable expression recognition by machine is still a challenging problem. Automatic facial expression recognition (FER) has several related problems: face detection, face representation, extraction of the facial expression informatio

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21

Marras, Ioannis. "Robust subspace learning techniques for tracking and recognition of human faces." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/41039.

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Computer vision, in general, aims to duplicate (or in some cases compensate) human vision, and traditionally, have been used in performing routine, repetitive tasks, such as classification in massive assembly lines. Today, research on computer vision is spreading enormously so that it is almost impossible to itemize all of its subtopics. Despite of this fact, one can list relevant several applications, such as face processing (i.e. face, expression, and gesture recognition), computer human interaction, crowd surveillance, and content-based image retrieval. In this thesis, we propose subspace l

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Muller, Neil. "Facial recognition, eigenfaces and synthetic discriminant functions." Thesis, Stellenbosch : Stellenbosch University, 2000. http://hdl.handle.net/10019.1/51756.

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Thesis (PhD)--University of Stellenbosch, 2001.<br>ENGLISH ABSTRACT: In this thesis we examine some aspects of automatic face recognition, with specific reference to the eigenface technique. We provide a thorough theoretical analysis of this technique which allows us to explain many of the results reported in the literature. It also suggests that clustering can improve the performance of the system and we provide experimental evidence of this. From the analysis, we also derive an efficient algorithm for updating the eigenfaces. We demonstrate the ability o

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Günther, Manuel [Verfasser]. "Statistical Gabor Graph Based Techniques for the Detection, Recognition, Classification, and Visualization of Human Faces / Manuel Günther." Aachen : Shaker, 2012. http://d-nb.info/1069046140/34.

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Poinsot, Audrey. "Traitements pour la reconnaissance biométrique multimodale : algorithmes et architectures." Thesis, Dijon, 2011. http://www.theses.fr/2011DIJOS010.

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Combiner les sources d'information pour créer un système de reconnaissance biométrique multimodal permet d'atténuer les limitations de chaque caractéristique utilisée, et donne l'opportunité d'améliorer significativement les performances. Le travail présenté dans ce manuscrit a été réalisé dans le but de proposer un système de reconnaissance performant, qui réponde à des contraintes d'utilisation grand-public, et qui puisse être implanté sur un système matériel de faible coût. La solution choisie explore les possibilités apportées par la multimodalité, et en particulier par la fusion du visage

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Assefa, Anteneh. "Tracing and apportioning sources of dioxins using multivariate pattern recognition techniques." Doctoral thesis, Umeå universitet, Kemiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-102877.

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High levels of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDD/Fs) in edible fish in the Baltic Sea have raised health concerns in the Baltic region and the rest of Europe. Thus, there are urgent needs to characterize sources in order to formulate effective mitigation strategies. The aim of this thesis is to contribute to a better understanding of past and present sources of PCDD/Fs in the Baltic Sea environment by exploring chemical fingerprints in sediments, air, and biota. The spatial and temporal patterns of PCDD/F distributions in the Baltic Sea during the 20th c

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Aganj, Ehsan. "Multi-view Reconstruction and Texturing=Reconstruction multi-vues et texturation." Phd thesis, Ecole des Ponts ParisTech, 2009. http://pastel.archives-ouvertes.fr/pastel-00517742.

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Dans cette thèse, nous étudions les problèmes de reconstruction statique et dynamique à partir de vues multiples et texturation, en s'appuyant sur des applications réelles et pratiques. Nous proposons trois méthodes de reconstruction destinées à l'estimation d'une représentation d'une scène statique/dynamique à partir d'un ensemble d'images/vidéos. Nous considérons ensuite le problème de texturation multi-vues en se concentrant sur la qualité visuelle de rendu..

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Chou, Yu-Shu, and 周煜書. "Face detection and recognition based on neural techniques." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/15101749270685630676.

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碩士<br>義守大學<br>資訊管理學系碩士班<br>96<br>We develop and improve an algorithm which can detect faces with complex and noisy views, and recognize these identity in face images. We use a method that the value is above a threshold, then that location is classified as a face. The ability of face recognition are increasing. The system of face detection and recognition is divided into three stages: face detection, face location, face recognition. Our face detection algorithm improve the framework of neural network-based face detection(NNFD) proposed by Rowley(1998). We modify the detecting area of NNFD’s hid

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MATHUR, PALLAVI. "STUDY OF FACE RECOGNITION TECHNIQUES USING VARIOUS MOMENTS." Thesis, 2012. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14115.

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The field of face recognition has been explored a lot and the work is still going on. In the presented work we have proposed a novel approach for face recognition using moments. Four methods have been used for feature extraction: Hu moments, Zernike moments, Legendre moments and Cumulants. Hu moments are a set of seven moments which have been derived from the conventional geometric moments. These are invariant against rotation, scaling and translation. Legendre moments and Zernike moments have an orthogonal basis set and can be used to represent an image with a minimum amount of informat

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"Automatic segmentation and registration techniques for 3D face recognition." Thesis, 2008. http://library.cuhk.edu.hk/record=b6074674.

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A 3D range image acquired by 3D sensing can explicitly represent a three-dimensional object's shape regardless of the viewpoint and lighting variations. This technology has great potential to resolve the face recognition problem eventually. An automatic 3D face recognition system consists of three stages: facial region segmentation, registration and recognition. The success of each stage influences the system's ultimate decision. Lately, research efforts are mainly devoted to the last recognition stage in 3D face recognition research. In this thesis, our study mainly focuses on segmentation an

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Yadav, Govind. "Feature Extraction and Feature Selection Techniques for Face Recognition." Thesis, 2016. http://ethesis.nitrkl.ac.in/9351/1/2016_MT_GYadav.pdf.

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Face recognition is one amongst the most significant applications of image processing. It’s a challenge to make an automated system which will be comparable to human ability for recognizing faces. Although other biometric techniques are reliable but problem with these techniques is that the individual has to interact with the system, while face recognition is a non-intrusive technique which can be performed without interaction with the system. Feature extraction is most crucial part of any pattern recognition problem. In our work we have applied different techniques for facial feature extra

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"Learning-based descriptor for 2-D face recognition." 2010. http://library.cuhk.edu.hk/record=b5894302.

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Cao, Zhimin.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2010.<br>Includes bibliographical references (leaves 30-34).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction and related work --- p.1<br>Chapter 2 --- Learning-based descriptor for face recognition --- p.7<br>Chapter 2.1 --- Overview of framework --- p.7<br>Chapter 2.2 --- Learning-based descriptor extraction --- p.9<br>Chapter 2.2.1 --- Sampling and normalization --- p.9<br>Chapter 2.2.2 --- Learning-based encoding and histogram rep-resentation --- p.11<br>Chapter 2.2.3 --- PCA dimension reduction ---

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LAI, YU-DIAN, and 賴育鈿. "A Mirroring and Monitoring System Using Face and Emotion Recognition Techniques." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/vh4649.

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碩士<br>逢甲大學<br>資訊工程學系<br>107<br>Personnel management is usually required in classrooms, small companies, or laboratories. Thus, an entrance monitoring system may be installed at the entrance and exit to facilitate management. We use face recognition technology in the entrance surveillance system to identify the person's identity. In this system, a smart mirror is designed, which can display the information of users. Managers can know the identity and emotions of members, which will help members and managers at the same time. In this study, we proposed a smart mirror and entrance monitoring syst

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"Face authentication on mobile devices: optimization techniques and applications." 2005. http://library.cuhk.edu.hk/record=b5892581.

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Pun Kwok Ho.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.<br>Includes bibliographical references (leaves 106-111).<br>Abstracts in English and Chinese.<br>Chapter 1. --- Introduction --- p.1<br>Chapter 1.1 --- Background --- p.1<br>Chapter 1.1.1 --- Introduction to Biometrics --- p.1<br>Chapter 1.1.2 --- Face Recognition in General --- p.2<br>Chapter 1.1.3 --- Typical Face Recognition Systems --- p.4<br>Chapter 1.1.4 --- Face Database and Evaluation Protocol --- p.5<br>Chapter 1.1.5 --- Evaluation Metrics --- p.7<br>Chapter 1.1.6 --- Characteristics of Mobile Devices ---

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Chang, Chia-Kai, and 張家愷. "Face Recognition Method by Integrating the Techniques of Biometrics and Principal Component Analysis." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/56719495701817415015.

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碩士<br>朝陽科技大學<br>資訊管理系<br>102<br>This study proposes a face recognition method by integrating the techniques of biometrics and principal component analysis (PCA). Based on this method, we construct a multi-face recognition system which is based on fourteen biometric features. In this system, improve the detection process by using two color space models to extract face regions from the picture. We capture the biometric features from every candidate of face image, calculate the difference of facial feature vector (DFFV) and find weights of feature vector by PCA. Then, these data are stored in fac

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"Symmetry for face analysis." 2005. http://library.cuhk.edu.hk/record=b5892640.

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Yuan Tianqiang.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.<br>Includes bibliographical references (leaves 51-55).<br>Abstracts in English and Chinese.<br>abstract --- p.i<br>acknowledgments --- p.iv<br>table of contents --- p.v<br>list of figures --- p.vii<br>list of tables --- p.ix<br>Chapter Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Reflectional Symmetry Detection --- p.1<br>Chapter 1.2 --- Research Progress on Face Analysis --- p.2<br>Chapter 1.2.1 --- Face Detection --- p.3<br>Chapter 1.2.2 --- Face Alignment --- p.4<br>Chapter 1.2.3 --- Face Recognit

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"Rotation-invariant face detection in grayscale images." 2005. http://library.cuhk.edu.hk/record=b5892397.

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Zhang Wei.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2005.<br>Includes bibliographical references (leaves 73-78).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.ii<br>List of Figures --- p.viii<br>List of Tables --- p.ix<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Previous work --- p.2<br>Chapter 1.1.1 --- Learning-based approaches --- p.3<br>Chapter 1.1.2 --- Feature-based approaches --- p.7<br>Chapter 1.2 --- Thesis objective --- p.12<br>Chapter 1.3 --- The proposed detector --- p.13<br>Chapter 1.4 --- Thesis outline ---

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Wang, Kai-yi, and 王凱毅. "A Real-Time Face Tracking and Recognition System Based on Particle Filtering and AdaBoosting Techniques." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/4xrvmn.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>95<br>Owing to the demand of more efficient and friendly human computer interface, the researches on face processing have been rapidly grown in recent years. In addition to providing some kinds of service for human beings, one of the most important characteristics of a system is to naturally interact with people. In this thesis, a design and experimental study of a face tracking and recognition system is presented. Regarding the face tracking, we utilize a particle filter to localize faces in image sequences. Since we have considered the hair color information of a h

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Wang, Chih-hsin, and 汪至信. "Real-time Multi-Face Recognition and Tracking Techniques Used for the Interaction between Humans and Robots." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/05324340872357424096.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>97<br>More recently, the technique of face recognition has been markedly extended to realize the optimality of human-computer interfaces due to the promotion of “intelligent life.” Face recognition has been broadly applied in many areas, such as biometric identity authentication, entrance guard, and human-computer interface in recent years. In view of the above-mentioned facts, a completely automatic real-time multi-faces recognition and tracking system installed on a person following robot is presented in this thesis, including face detection, face recognition, and

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Lin, Yu-Ta, and 林裕達. "Real-time Visual Face Tracking and Recognition Techniques Used for the Interaction between Humans and Robots." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/50413688003753242620.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>96<br>Owing to the demand of more efficient and friendly human-computer interfaces, the researches on face processing have been rapidly grown in recent years. In addition to offering some kinds of service for human beings, one of the most important characteristics of a favorable system is to autonomously interact with people. Accordingly, face recognition has been broadly applied in the areas, such as biometric identity authentication, entrance guard, and human-computer interfaces. More recently, the technique of face recognition has been markedly extended to the app

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"3D object retrieval and recognition." 2010. http://library.cuhk.edu.hk/record=b5894304.

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Gong, Boqing.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2010.<br>Includes bibliographical references (p. 53-59).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- 3D Object Representation --- p.1<br>Chapter 1.1.1 --- Polygon Mesh --- p.2<br>Chapter 1.1.2 --- Voxel --- p.2<br>Chapter 1.1.3 --- Range Image --- p.3<br>Chapter 1.2 --- Content-Based 3D Object Retrieval --- p.3<br>Chapter 1.3 --- 3D Facial Expression Recognition --- p.4<br>Chapter 1.4 --- Contributions --- p.5<br>Chapter 2 --- 3D Object Retrieval --- p.6<br>Chapter 2.1

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"An investigation into the parameters influencing neural network based facial recognition." Thesis, 2012. http://hdl.handle.net/10210/7007.

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D.Ing.<br>This thesis deals with an investigation into facial recognition and some variables that influence the performance of such a system. Firstly there is an investigation into the influence of image variability on the overall recognition performance of a system and secondly the performance and subsequent suitability of a neural network based system is tested. Both tests are carried out on two distinctly different databases, one more variable than the other. The results indicate that the greater the amount of variability the more negatively affected is the performance rating of a specific

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Sherman, George Edward. "A model of an expert computer vision and recognition facility with applications of a proportion technique." 1985. http://hdl.handle.net/2097/27537.

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Chien, Chin-Hsiang, and 簡晉翔. "3D human face reconstruction and recognition by using the techniques of multi-view synthesizing method with the aids of the depth images." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/50336494037594860799.

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碩士<br>淡江大學<br>電機工程學系碩士班<br>101<br>In the past years, most of the three-dimensional reconstruction or recognition systems use two-dimensional image and its depth image to calculate the three-dimensional coordinates of the image to process the three-dimensional theme. Such operations usually take a considerable amount of computing costs. This research proposes another approach, point cloud, which can preserve feature vectors and color information, for three-dimensional face reconstruction and recognition. In the conventional 2D approach, it keeps tracking the information of each pixel of the 2D

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G, Rajesh Babu. "Attendance Maintenance Using Face Recognition Technique." Thesis, 2014. http://raiith.iith.ac.in/114/1/CS11M09.pdf.

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In any class room attendance maintenance is a hectic task for teacher, they need to call roll no or name. Based on the response and identication, they record the attendance for the student. Au- tomatic attendance maintenance system is challenging task because person identication in images is a dicult task. To solve the problem of identifying a person in images, some statistical based techniques are used such as Independent Component Analysis (ICA), Principal Component Analy- sis(PCA), LDA(Linear Discriminate analysis) etc. Biometric based techniques such as identication by iris, nger pri

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tsai, Chuan-yi, and 蔡全益. "Using Stereo Vision Technique for Face Recognition." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/8py637.

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碩士<br>國立臺北科技大學<br>工業工程與管理系所<br>93<br>Biometric measurements received an increasing interest for security applications in the last two decades. In particularly, face recognition has been an active research in this area. The objective of this study is to develop an effective face recognition system that extracts both 2D and 3D face features to improve the recognition performance. The proposed method derives 3D face information using a designed stereo face system. Then, it retrieves 2D and 3D face features with Principle Component Analysis (PCA) and Local Autocorrelation Coefficient (LAC) res

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Gillan, Steven. "A technique for face recognition based on image registration." Thesis, 2010. http://hdl.handle.net/1828/2548.

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This thesis presents a technique for face recognition that is based on image registration. The image registration technique is based on finding a set of feature points in the two images and using these feature points for registration. This is done in four steps. In the first, images are filtered with the Mexican hat wavelet to obtain the feature point locations. In the second, the Zernike moments of neighbourhoods around the feature points are calculated and compared in the third step to establish correspondence between feature points in the two images and in the fourth the transformation par

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(9795329), Xiaolong Fan. "A feature selection and classification technique for face recognition." Thesis, 2005. https://figshare.com/articles/thesis/A_feature_selection_and_classification_technique_for_face_recognition/13457450.

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Project examines face recognition research, and presents a novel feature selection and classification technique - Genetic Algorithms (GA) for selection and Artificial Neural Network (ANN) for classification.<p></p>

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Wu, Yao-Ting, and 吳曜廷. "Face Recognition and Destiny Foreseeing by Using Fuzzy Classification Technique." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/87425209250827454844.

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碩士<br>逢甲大學<br>自動控制工程所<br>98<br>This paper proposes a face recognition and fortunes foreseeing system for specified person by using fuzzy inference method. This system uses CCD camera to take a picture of specified person in the best distance, and uses a skin color detection method to find out the facial area by separating skin color scope. This achieves the purpose of first positioning. After the preliminary positioning , we locate the facial contour by using the ellipse template method. Find out the locations of eye and lip of the five sense organs in the human face, and then to get the compl

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Chang-LinTsou and 鄒昌霖. "Face Recognition using Dual-LBP Architecture Technique under Different Illumination." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/f392u2.

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Tsai, Pei-Chun, and 蔡佩君. "Face detection and recognition based on fuzzy theory and neural technique." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/50182223129448794553.

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碩士<br>義守大學<br>資訊管理學系碩士班<br>96<br>We develop and improve an algorithm in order to detect the faces and recognize theses identity in daily life images in the varied background. We use less-dimension vectors to reduce images complexity and improving interference with noise in images,increasing ability of face detection and recognition. The system of face detection and recognition is divided into three stages: face detection, face location, and face recognition. In the first stage, we use a fuzzy Gaussian classifier and a face feature extracting neural network to detecting faces in image. In this

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