by Hok Chun Lo. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2001. / Includes bibliographical references (leaves 136-143). / Abstracts in English and Chinese. / LIST OF FIGURES --- p.viii / LIST OF TABLES --- p.x / Chapter 1. --- INTRODUCTION --- p.1 / Chapter 2. --- PREVIOUS WORK ON FACIAL EXPRESSION RECOGNITION --- p.9 / Chapter 2.1. --- Active Deformable Contour --- p.9 / Chapter 2.2. --- Facial Feature Points and B-spline Curve --- p.10 / Chapter 2.3. --- Optical Flow Approach --- p.11 / Chapter 2.4. --- Facial Action Coding System --- p.12 / Chapter 2.5. --- Neural Network --- p.13 / Chapter 3. --- EIGEN-ANALYSIS BASED METHOD FOR FACIAL EXPRESSION RECOGNITION --- p.15 / Chapter 3.1. --- Related Topics on Eigen-Analysis Based Method --- p.15 / Chapter 3.1.1. --- Terminologies --- p.15 / Chapter 3.1.2. --- Principal Component Analysis --- p.17 / Chapter 3.1.3. --- Significance of Principal Component Analysis --- p.18 / Chapter 3.1.4. --- Graphical Presentation of the Idea of Principal Component Analysis --- p.20 / Chapter 3.2. --- EigenFace Method for Face Recognition --- p.21 / Chapter 3.3. --- Eigen-Analysis Based Method for Facial Expression Recognition --- p.23 / Chapter 3.3.1. --- Person-Dependent Database --- p.23 / Chapter 3.3.2. --- Direct Adoption of EigenFace Method --- p.24 / Chapter 3.3.3. --- Multiple Subspaces Method --- p.27 / Chapter 3.4. --- Detail Description on Our Approaches --- p.29 / Chapter 3.4.1. --- Database Formation --- p.29 / Chapter a. --- Conversion of Image to Column Vector --- p.29 / Chapter b. --- "Preprocess: Scale Regulation, Orientation Regulation and Cropping." --- p.30 / Chapter c. --- Scale Regulation --- p.31 / Chapter d. --- Orientation Regulation --- p.32 / Chapter e. --- Cropping of images --- p.33 / Chapter f. --- Calculation of Expression Subspace for Direct Adoption Method --- p.35 / Chapter g. --- Calculation of Expression Subspace for Multiple Subspaces Method. --- p.38 / Chapter 3.4.2. --- Recognition Process for Direct Adoption Method --- p.38 / Chapter 3.4.3. --- Recognition Process for Multiple Subspaces Method --- p.39 / Chapter a. --- Intensity Normalization Algorithm --- p.39 / Chapter b. --- Matching --- p.44 / Chapter 3.5. --- Experimental Result and Analysis --- p.45 / Chapter 4. --- DEFORMABLE TEMPLATE MATCHING SCHEME FOR FACIAL EXPRESSION RECOGNITION --- p.53 / Chapter 4.1. --- Background Knowledge --- p.53 / Chapter 4.1.1. --- Camera Model --- p.53 / Chapter a. --- Pinhole Camera Model and Perspective Projection --- p.54 / Chapter b. --- Orthographic Camera Model --- p.56 / Chapter c. --- Affine Camera Model --- p.57 / Chapter 4.1.2. --- View Synthesis --- p.58 / Chapter a. --- Technique Issue of View Synthesis --- p.59 / Chapter 4.2. --- View Synthesis Technique for Facial Expression Recognition --- p.68 / Chapter 4.2.1. --- From View Synthesis Technique to Template Deformation --- p.69 / Chapter 4.3. --- Database Formation --- p.71 / Chapter 4.3.1. --- Person-Dependent Database --- p.72 / Chapter 4.3.2. --- Model Images Acquisition --- p.72 / Chapter 4.3.3. --- Templates' Structure and Formation Process --- p.73 / Chapter 4.3.4. --- Selection of Warping Points and Template Anchor Points --- p.77 / Chapter a. --- Selection of Warping Points --- p.78 / Chapter b. --- Selection of Template Anchor Points --- p.80 / Chapter 4.4. --- Recognition Process --- p.81 / Chapter 4.4.1. --- Solving Warping Equation --- p.83 / Chapter 4.4.2. --- Template Deformation --- p.83 / Chapter 4.4.3. --- Template from Input Images --- p.86 / Chapter 4.4.4. --- Matching --- p.87 / Chapter 4.5. --- Implementation of Automation System --- p.88 / Chapter 4.5.1. --- Kalman Filter --- p.89 / Chapter 4.5.2. --- Using Kalman Filter for Trakcing in Our System --- p.89 / Chapter 4.5.3. --- Limitation --- p.92 / Chapter 4.6. --- Experimental Result and Analysis --- p.93 / Chapter 5. --- CONCLUSION AND FUTURE WORK --- p.97 / APPENDIX --- p.100 / Chapter I. --- Image Sample 1 --- p.100 / Chapter II. --- Image Sample 2 --- p.109 / Chapter III. --- Image Sample 3 --- p.119 / Chapter IV. --- Image Sample 4 --- p.135 / BIBLIOGRAPHY --- p.136
| Identifer | oai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_323373 |
| Date | January 2001 |
| Contributors | Lo, Hok Chun., Chinese University of Hong Kong Graduate School. Division of Mechanical and Automation Engineering. |
| Source Sets | The Chinese University of Hong Kong |
| Language | English, Chinese |
| Detected Language | English |
| Type | Text, bibliography |
| Format | print, x, 143 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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