| 摘要 | 第4-5页 |
| Abstract | 第5-6页 |
| Table of Contents | 第7-9页 |
| List of Figures | 第9-10页 |
| List of Tables | 第10-12页 |
| Chapter 1 Introduction | 第12-24页 |
| 1.1 Background | 第12-16页 |
| 1.2 Motivations | 第16-17页 |
| 1.3 Procedure of Face Recognition and its Challenges | 第17-19页 |
| 1.4 Face Recognition Techniques | 第19-21页 |
| 1.5 Objectives and Scope | 第21-23页 |
| 1.6 Thesis Outline | 第23-24页 |
| Chapter 2 Sparse Representations | 第24-31页 |
| 2.1 Introduction | 第24-25页 |
| 2.2 The Sparse Representation Model | 第25-27页 |
| 2.3 Sparse Representation based Classification | 第27-29页 |
| 2.4 Benefit of Sparse Representation Classification (SRC) | 第29-31页 |
| Chapter 3 Collaborative Representation for Face Recognition based on Bilateral Filtering | 第31-44页 |
| 3.1 Introduction | 第31-33页 |
| 3.2 Related Work | 第33-34页 |
| 3.3 Bilateral Filtering (BF) | 第34-36页 |
| 3.4 Bilateral Filtering Implementation | 第36页 |
| 3.5 Collaborative Representation with Regularized Least Square (CR_RLS) | 第36-37页 |
| 3.6 Collaborative Representation Method Based on Bilateral Filtering | 第37-38页 |
| 3.7 Experiments Evaluation | 第38-43页 |
| 3.8 Summary | 第43-44页 |
| Chapter 4 Improved Combination of RPCA and MFL for Sparse Representation-Based Face Recognition | 第44-58页 |
| 4.1 Introduction | 第44-46页 |
| 4.2 Related Work | 第46-47页 |
| 4.3 Robust Principal Component Analysis | 第47-48页 |
| 4.4 Sparse Representation Based Classification (SRC) For Face Recognition | 第48-50页 |
| 4.5 Metaface Learning | 第50-51页 |
| 4.6 Combination of RPCA and MFL for Sparse Representation (SR) | 第51-52页 |
| 4.7 Experimental Results | 第52-57页 |
| 4.8 Summary | 第57-58页 |
| Chapter 5 Relaxed Collaborative Representation for Face Recognition based on Low-Rank Matrix Recovery | 第58-73页 |
| 5.1 Introduction | 第58-60页 |
| 5.2 Face Recognition via Relaxed Collaborative Representation based Low-Rank Matrix Recovery (LR) | 第60-64页 |
| 5.3 Experimental Results and Analysis | 第64-71页 |
| 5.4 Summary | 第71-73页 |
| Chapter 6 Conclusion and Future Work | 第73-75页 |
| 6.1 Conclusion | 第73-74页 |
| 6.2 Future Work | 第74-75页 |
| References | 第75-90页 |
| Research Publications | 第90-91页 |
| Acknowledgements | 第91页 |
