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Facial feature extraction and its applications =: 臉部特徵之擷取及其應用. / 臉部特徵之擷取及其應用 / Facial feature extraction and its applications =: Lian bu te zheng zhi xie qu ji qi ying yong. / Lian bu te zheng zhi xie qu ji qi ying yong

Lau Chun Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 173-177). / Text in English; abstracts in English and Chinese. / Lau Chun Man. / Acknowledgement --- p.ii / Abstract --- p.iii / Contents --- p.vi / List of Tables --- p.x / List of Figures --- p.xi / Notations --- p.xv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Facial features --- p.1 / Chapter 1.1.1 --- Face region --- p.2 / Chapter 1.1.2 --- Contours and locations of facial organs --- p.2 / Chapter 1.1.3 --- Fiducial points --- p.3 / Chapter 1.1.4 --- Features from Principal Components Analysis --- p.5 / Chapter 1.1.5 --- Relationships between facial features --- p.7 / Chapter 1.2 --- Facial feature extraction --- p.8 / Chapter 1.2.1 --- Extraction of contours and locations of facial organs --- p.9 / Chapter 1.2.2 --- Extraction of fiducial points --- p.9 / Chapter 1.3 --- Face recognition --- p.10 / Chapter 1.4 --- Face animation --- p.11 / Chapter 1.5 --- Thesis outline --- p.12 / Chapter 2 --- Extraction of contours and locations of facial organs --- p.13 / Chapter 2.1 --- Introduction --- p.13 / Chapter 2.2 --- Deformable template model --- p.21 / Chapter 2.2.1 --- Introduction --- p.21 / Chapter 2.2.2 --- Segmentation of facial organs --- p.21 / Chapter 2.2.3 --- Estimation of iris location --- p.22 / Chapter 2.2.4 --- Eye template model --- p.23 / Chapter 2.2.5 --- Eye contour extraction --- p.24 / Chapter 2.2.6 --- Experimental results --- p.26 / Chapter 2.3 --- Integral projection method --- p.28 / Chapter 2.3.1 --- Introduction --- p.28 / Chapter 2.3.2 --- Pre-processing of the intensity map --- p.28 / Chapter 2.3.3 --- Processing of facial mask --- p.28 / Chapter 2.3.4 --- Integral projection --- p.29 / Chapter 2.3.5 --- Extraction of the irises --- p.30 / Chapter 2.3.6 --- Experimental results --- p.30 / Chapter 2.4 --- Active contour model (Snake) --- p.32 / Chapter 2.4.1 --- Introduction --- p.32 / Chapter 2.4.2 --- Forces on active contour model --- p.33 / Chapter 2.4.3 --- Mathematical representation of Snake --- p.33 / Chapter 2.4.4 --- Internal energy --- p.33 / Chapter 2.4.5 --- Image energy --- p.35 / Chapter 2.4.6 --- External energy --- p.36 / Chapter 2.4.7 --- Energy minimization --- p.36 / Chapter 2.4.8 --- Experimental results --- p.36 / Chapter 2.5 --- Summary --- p.38 / Chapter 3 --- Extraction of fiducial points --- p.39 / Chapter 3.1 --- Introduction --- p.39 / Chapter 3.2 --- Theory --- p.42 / Chapter 3.2.1 --- Face region extraction --- p.42 / Chapter 3.2.2 --- Iris detection and energy function --- p.44 / Chapter 3.2.3 --- Extraction of fiducial points --- p.53 / Chapter 3.2.4 --- Optimization of energy functions --- p.54 / Chapter 3.3 --- Experimental results --- p.55 / Chapter 3.4 --- Geometric features --- p.61 / Chapter 3.4.1 --- Definition of geometric features --- p.61 / Chapter 3.4.2 --- Selection of geometric features for face recognition --- p.63 / Chapter 3.4.3 --- Discussion --- p.73 / Chapter 3.5 --- Gaobr features --- p.75 / Chapter 3.5.1 --- Introduction --- p.75 / Chapter 3.5.2 --- Properties of Gabor wavelets --- p.82 / Chapter 3.5.3 --- Gabor features for face recognition --- p.85 / Chapter 3.6 --- Summary --- p.89 / Chapter 4 --- The use of fiducial points for face recognition --- p.90 / Chapter 4.1 --- Introduction --- p.90 / Chapter 4.1.1 --- Problem of face recognition --- p.92 / Chapter 4.1.2 --- Face recognition process --- p.93 / Chapter 4.1.3 --- Features for face recognition --- p.94 / Chapter 4.1.4 --- Distance measure --- p.95 / Chapter 4.1.5 --- Interpretation of recognition results --- p.96 / Chapter 4.2 --- Face recognition by Principal Components Analysis (PCA) --- p.98 / Chapter 4.2.1 --- Introduction --- p.98 / Chapter 4.2.2 --- PCA recognition system overview --- p.101 / Chapter 4.2.3 --- Face database --- p.103 / Chapter 4.2.4 --- Experimental results and analysis --- p.103 / Chapter 4.3 --- Face recognition by geometric features --- p.105 / Chapter 4.3.1 --- System overview --- p.105 / Chapter 4.3.2 --- Face database --- p.107 / Chapter 4.3.3 --- Experimental results and analysis --- p.107 / Chapter 4.3.4 --- Summary --- p.109 / Chapter 4.4 --- Face recognition by Gabor features --- p.110 / Chapter 4.4.1 --- System overview --- p.110 / Chapter 4.4.2 --- Face database --- p.112 / Chapter 4.4.3 --- Experimental results and analysis --- p.112 / Chapter 4.4.4 --- Comparison of recognition rate --- p.123 / Chapter 4.4.5 --- Summary --- p.124 / Chapter 4.5 --- Summary --- p.125 / Chapter 5 --- The use of fiducial points for face animation --- p.126 / Chapter 5.1 --- Introduction --- p.126 / Chapter 5.2 --- Wire-frame model --- p.129 / Chapter 5.2.1 --- Wire-frame model I --- p.129 / Chapter 5.2.2 --- Wire-frame model II --- p.132 / Chapter 5.3 --- Construction of individualized 3-D face mdoel --- p.133 / Chapter 5.3.1 --- Wire-frame fitting --- p.133 / Chapter 5.3.2 --- Texture mapping --- p.136 / Chapter 5.3.3 --- Experimental results --- p.142 / Chapter 5.4 --- Face definition and animation in MPEG4 --- p.144 / Chapter 5.4.1 --- Introduction --- p.144 / Chapter 5.4.2 --- Correspondences between fiducial points and FDPs --- p.146 / Chapter 5.4.3 --- Automatic generation of FDPs --- p.148 / Chapter 5.4.4 --- Generation of expressions by FAPs --- p.148 / Chapter 5.5 --- Summary --- p.152 / Chapter 6 --- Discussions and Conclusions --- p.153 / Chapter 6.1 --- Discussions --- p.153 / Chapter 6.1.1 --- Extraction of contours and locations of facial organs --- p.154 / Chapter 6.1.2 --- Extraction of fiducial points --- p.155 / Chapter 6.1.3 --- The use of fiducial points for face recognition --- p.156 / Chapter 6.1.4 --- The use of fiducial points for face animation --- p.157 / Chapter 6.2 --- Conclusions --- p.160 / Chapter A --- Mathematical derivation of Principal Components Analysis --- p.160 / Chapter B --- Face database --- p.173 / Bibliography

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323419
Date January 2001
ContributorsLau, Chun Man., Chinese University of Hong Kong Graduate School. Division of Electronic Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, xv, 177 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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