Tang Ho-Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2003. / Includes bibliographical references (leaves 85-92). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.iv / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Background --- p.1 / Chapter 1.2 --- Face Recognition --- p.2 / Chapter 1.3 --- Contributions --- p.4 / Chapter 1.4 --- Organization of this Thesis --- p.6 / Chapter 2 --- Literature Review --- p.8 / Chapter 2.1 --- Committee Machine --- p.8 / Chapter 2.1.1 --- Static Structure --- p.9 / Chapter 2.1.2 --- Dynamic Structure --- p.10 / Chapter 2.2 --- Face Recognition Algorithms Overview --- p.11 / Chapter 2.2.1 --- Eigenface --- p.12 / Chapter 2.2.2 --- Fisherface --- p.17 / Chapter 2.2.3 --- Elastic Graph Matching --- p.19 / Chapter 2.2.4 --- Support Vector Machines --- p.23 / Chapter 2.2.5 --- Neural Networks --- p.25 / Chapter 2.3 --- Commercial System and Applications --- p.27 / Chapter 2.3.1 --- FaceIT --- p.28 / Chapter 2.3.2 --- ZN-Face --- p.28 / Chapter 2.3.3 --- TrueFace --- p.29 / Chapter 2.3.4 --- Viisage --- p.30 / Chapter 3 --- Static Structure --- p.31 / Chapter 3.1 --- Introduction --- p.31 / Chapter 3.2 --- Architecture --- p.32 / Chapter 3.3 --- Result and Confidence --- p.33 / Chapter 3.3.1 --- "Eigenface, Fisherface, EGM" --- p.34 / Chapter 3.3.2 --- SVM --- p.35 / Chapter 3.3.3 --- Neural Networks --- p.36 / Chapter 3.4 --- Weight --- p.37 / Chapter 3.5 --- Voting Machine --- p.38 / Chapter 4 --- Dynamic Structure --- p.40 / Chapter 4.1 --- Introduction --- p.40 / Chapter 4.2 --- Architecture --- p.41 / Chapter 4.3 --- Gating Network --- p.42 / Chapter 4.4 --- Feedback Mechanism --- p.44 / Chapter 5 --- Face Recognition System --- p.46 / Chapter 5.1 --- Introduction --- p.46 / Chapter 5.2 --- System Architecture --- p.47 / Chapter 5.2.1 --- Face Detection Module --- p.48 / Chapter 5.2.2 --- Face Recognition Module --- p.49 / Chapter 5.3 --- Face Recognition Process --- p.50 / Chapter 5.3.1 --- Enrollment --- p.51 / Chapter 5.3.2 --- Recognition --- p.52 / Chapter 5.4 --- Distributed System --- p.54 / Chapter 5.4.1 --- Problems --- p.55 / Chapter 5.4.2 --- Distributed Architecture --- p.56 / Chapter 5.5 --- Conclusion --- p.59 / Chapter 6 --- Experimental Results --- p.60 / Chapter 6.1 --- Introduction --- p.60 / Chapter 6.2 --- Database --- p.61 / Chapter 6.2.1 --- ORL Face Database --- p.61 / Chapter 6.2.2 --- Yale Face Database --- p.62 / Chapter 6.2.3 --- AR Face Database --- p.62 / Chapter 6.2.4 --- HRL Face Database --- p.63 / Chapter 6.3 --- Experimental Details --- p.64 / Chapter 6.3.1 --- Pre-processing --- p.64 / Chapter 6.3.2 --- Cross Validation --- p.67 / Chapter 6.3.3 --- System details --- p.68 / Chapter 6.4 --- Result --- p.69 / Chapter 6.4.1 --- ORL Result --- p.69 / Chapter 6.4.2 --- Yale Result --- p.72 / Chapter 6.4.3 --- AR Result --- p.73 / Chapter 6.4.4 --- HRL Result --- p.75 / Chapter 6.4.5 --- Average Running Time --- p.76 / Chapter 6.5 --- Discussion --- p.77 / Chapter 6.5.1 --- Advantages --- p.78 / Chapter 6.5.2 --- Disadvantages --- p.79 / Chapter 6.6 --- Conclusion --- p.80 / Chapter 7 --- Conclusion --- p.82 / Bibliography --- p.92
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_324392 |
| Date | January 2003 |
| Contributors | Tang, Ho-Man., Chinese University of Hong Kong Graduate School. Division of Computer Science and Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, xi, 92 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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