●《博士后文库》序言
●Preface
●Chapter 1 Introduction 1
●1.1 Research Significance 1
●1.2 Current Research Situation 2
●1.2.1 Methods Based on Geometric Feature 3
●1.2.2 Methods Based on Subspace Analysis 3
●1.2.3 Methods Based on Machine Learning 6
●1.2.4 Methods Based on Model 7
●1.2.5 Methods Based on Local Feature 8
●1.3 Classification Rules in Image Recognition 9
●1.4 Difficulties of Face Recognition 10
●1.5 Face Recognition System 11
●References 14
●Chapter 2 Image Synthesis and Classification Method Based on Quotient Image Theory 19
●2.1 Introduction 19
●2.2 Background Review 20
●2.2.1 The Quotient Image Theory 20
●2.2.2 Illumination Subspace 22
●2.3 The Quotient Image Method Based on 9-dimension Linear Subspace 23
●部分目录
As motivated by the extensive potential applications in public security, finan security, human-computer interaction, biometrics recognition espely face recognition has become one of the hot topics in the fields of pattern recognition and&nb等
