Li Zhifeng. / Thesis submitted in: December 2002. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 49-53). / 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.ix / Chapter Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Face Recognition Problem and Challenge --- p.1 / Chapter 1.2 --- Applications --- p.2 / Chapter 1.3 --- Face Recognition Methods --- p.3 / Chapter 1.4 --- The Relationship Between the Face Recognition Performance and Different Training Data --- p.5 / Chapter 1.5 --- Thesis Overview --- p.6 / Chapter Chapter 2 --- PCA-based Recognition Method --- p.7 / Chapter 2.1 --- Review --- p.7 / Chapter 2.2 --- Formulation --- p.8 / Chapter 2.2.1 --- Karhunen-Loeve transform (KLT) --- p.8 / Chapter 2.2.2 --- Multilevel Dominant Eigenvector Estimation (MDEE) --- p.12 / Chapter 2.3 --- Analysis of The Effect of Training Data on PCA-based Method --- p.13 / Chapter Chapter 3 --- LDA-based Recognition Method --- p.17 / Chapter 3.1 --- Review --- p.17 / Chapter 3.2 --- Formulation --- p.18 / Chapter 3.2.1 --- The Pure LDA --- p.18 / Chapter 3.2.2 --- LDA-based method --- p.19 / Chapter 3.3 --- Analysis of The Effect of Training Data on LDA-based Method --- p.21 / Chapter Chapter 4 --- Experiments --- p.23 / Chapter 4.1 --- Face Database --- p.23 / Chapter 4.1.1 --- AR face database --- p.23 / Chapter 4.1.2 --- XM2VTS face database --- p.24 / Chapter 4.1.3 --- MMLAB face database --- p.26 / Chapter 4.1.4 --- Face Data Preprocessing --- p.27 / Chapter 4.2 --- Recognition Formulation --- p.29 / Chapter 4.3 --- PCA-based Recognition Using Different Training Data Sets --- p.29 / Chapter 4.3.1 --- Experiments on MMLAB Face Database --- p.30 / Chapter 4.3.1.1 --- Training Data Sets and Testing Data Sets --- p.30 / Chapter 4.3.1.2 --- Face Recognition Performance Using Different Training Data Sets --- p.31 / Chapter 4.3.2 --- Experiments on XM2VTS Face Database --- p.33 / Chapter 4.3.3 --- Comparison of MDEE and KLT --- p.36 / Chapter 4.3.4 --- Summary --- p.38 / Chapter 4.4 --- LDA-based Recognition Using Different Training Data Sets --- p.38 / Chapter 4.4.1 --- Experiments on AR Face Database --- p.38 / Chapter 4.4.1.1 --- The Selection of Training Data and Testing Data --- p.38 / Chapter 4.4.1.2 --- LDA-based recognition on AR face database --- p.39 / Chapter 4.4.2 --- Experiments on XM2VTS Face Database --- p.40 / Chapter 4.4.3 --- Training Data Sets and Testing Data Sets --- p.41 / Chapter 4.4.4 --- Experiments on XM2VTS Face Database --- p.42 / Chapter 4.4.5 --- Summary --- p.46 / Chapter Chapter 5 --- Summary --- p.47 / Bibliography --- p.49
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324184 |
| Date | January 2003 |
| Contributors | Li, Zhifeng., Chinese University of Hong Kong Graduate School. Division of Information Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, ix, 53 leaves : ill. ; 30 cm. |
| Rights | Use 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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