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A unified framework for subspace based face recognition.

Wang Xiaogang. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 88-91). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgments --- p.v / Table of Contents --- p.vi / List of Figures --- p.viii / List of Tables --- p.x / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Face recognition --- p.1 / Chapter 1.2 --- Subspace based face recognition technique --- p.2 / Chapter 1.3 --- Unified framework for subspace based face recognition --- p.4 / Chapter 1.4 --- Discriminant analysis in dual intrapersonal subspaces --- p.5 / Chapter 1.5 --- Face sketch recognition and hallucination --- p.6 / Chapter 1.6 --- Organization of this thesis --- p.7 / Chapter Chapter 2 --- Review of Subspace Methods --- p.8 / Chapter 2.1 --- PCA --- p.8 / Chapter 2.2 --- LDA --- p.9 / Chapter 2.3 --- Bayesian algorithm --- p.12 / Chapter Chapter 3 --- A Unified Framework --- p.14 / Chapter 3.1 --- PCA eigenspace --- p.16 / Chapter 3.2 --- Intrapersonal and extrapersonal subspaces --- p.17 / Chapter 3.3 --- LDA subspace --- p.18 / Chapter 3.4 --- Comparison of the three subspaces --- p.19 / Chapter 3.5 --- L-ary versus binary classification --- p.22 / Chapter 3.6 --- Unified subspace analysis --- p.23 / Chapter 3.7 --- Discussion --- p.26 / Chapter Chapter 4 --- Experiments on Unified Subspace Analysis --- p.28 / Chapter 4.1 --- Experiments on FERET database --- p.28 / Chapter 4.1.1 --- PCA Experiment --- p.28 / Chapter 4.1.2 --- Bayesian experiment --- p.29 / Chapter 4.1.3 --- Bayesian analysis in reduced PCA subspace --- p.30 / Chapter 4.1.4 --- Extract discriminant features from intrapersonal subspace --- p.33 / Chapter 4.1.5 --- Subspace analysis using different training sets --- p.34 / Chapter 4.2 --- Experiments on the AR face database --- p.36 / Chapter 4.2.1 --- "Experiments on PCA, LDA and Bayes" --- p.37 / Chapter 4.2.2 --- Evaluate the Bayesian algorithm for different transformation --- p.38 / Chapter Chapter 5 --- Discriminant Analysis in Dual Subspaces --- p.41 / Chapter 5.1 --- Review of LDA in the null space of and direct LDA --- p.42 / Chapter 5.1.1 --- LDA in the null space of --- p.42 / Chapter 5.1.2 --- Direct LDA --- p.43 / Chapter 5.1.3 --- Discussion --- p.44 / Chapter 5.2 --- Discriminant analysis in dual intrapersonal subspaces --- p.45 / Chapter 5.3 --- Experiment --- p.50 / Chapter 5.3.1 --- Experiment on FERET face database --- p.50 / Chapter 5.3.2 --- Experiment on the XM2VTS database --- p.53 / Chapter Chapter 6 --- Eigentransformation: Subspace Transform --- p.54 / Chapter 6.1 --- Face sketch recognition --- p.54 / Chapter 6.1.1 --- Eigentransformation --- p.56 / Chapter 6.1.2 --- Sketch synthesis --- p.59 / Chapter 6.1.3 --- Face sketch recognition --- p.61 / Chapter 6.1.4 --- Experiment --- p.63 / Chapter 6.2 --- Face hallucination --- p.69 / Chapter 6.2.1 --- Multiresolution analysis --- p.71 / Chapter 6.2.2 --- Eigentransformation for hallucination --- p.72 / Chapter 6.2.3 --- Discussion --- p.75 / Chapter 6.2.4 --- Experiment --- p.77 / Chapter 6.3 --- Discussion --- p.83 / Chapter Chapter 7 --- Conclusion --- p.85 / Publication List of This Thesis --- p.87 / Bibliography --- p.88

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324203
Date January 2003
ContributorsWang, Xiaogang., Chinese University of Hong Kong Graduate School. Division of Information Engineering.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish, Chinese
Detected LanguageEnglish
TypeText, bibliography
Formatprint, x, 91 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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