本书根据工程应用的实际需要，全面系统地介绍了面向人机交互的人脸表情识别技术，主要内容包括：根据视觉信息处理的分模块性原理，对彩色图像的恒常性问题进行研究，克服传统颜色恒常性的不适定问题；为实现高效准确的人脸检测和面部特征定位，对多特征融合的人脸检测方法和面部特征点定位问题进行了研究；综合考虑人脸表情特征的重要性和提取的有效性，对表情特征提取方法进行了研究；考虑融入表情样本的类别信息，对有监督的正交保局投影的表情识别算法进行了研究。

Preface
Chapter 1 Introduction
1.1 Research Background and Significance
1.2 Overview of Facial Expression Recognition
1.3 Research Status at Home and Abroad
1.3.1 Typical Facial Expression Recognition Algorithms
1.3.2 Existing Problems in Facial Expression Recognition
1.4 Research Contents
Chapter 2 Color Constancy Algorithm for Color Image Under Complex Illumination Conditions
2.1 Introduction
2.2 Correction of Color Deviation
2.2.1 LoG Chrominance Edge Extraction
2.2.2 White Balance Adjustment
2.2.3 Experimental Results and Analysis
2.3 Luminance Enhancement
2.3.1 Retinex Enhancement Algorithm
2.3.2 Color Retention Enhancement Algorithm
2.3.3 Experimental Results and Analysis
2.4 Fractional Step Color Constancy Algorithm
2.5 Summary of This Chapter
Chapter 3 Face Detection Algorithm with Multi-feature Fusion
3.1 Introduction
3.2 Skin Color Area Detection
3.2.1 Common Color Space
3.2.2 Skin Color Clustering Analysis
3.2.3 Skin Color Area Detection Algorithm
3.3 AdaBoost Face Detection Combined with Skin Color Features
3.3.1 AdaBoost Algorithm
3.3.2 AdaBoost Face Detection Algorithm Combined with Skin Color Features
3.4 Face Authentication Based on Harris Corner Point Detection
3.4.1 Principles for Harris Corner Point Detection
3.4.2 Harris Corner Point Detection Algorithm
3.4.3 Face Authentication Based on Harris Corner Point Detection
3.5 Experimental Results and Analysis
3.6 Summary of This Chapter
Chapter 4 Facial Features Location
4.1 Introduction
4.2 Eye Location Based on the Robustness of Illuminated Expression
4.2.1 Multi-scale Self-quotient Image
4.2.2 Rough Location of Morphological Filtering
4.2.3 Precise Eye Location
4.2.4 Experimental Results and Analysis
4.3 Location System of Key Color Facial Feature Point
4.3.1 Overview of the System
4.3.2 Eyes Location
4.3.3 Mouth Location
4.3.4 Experimental Results and Analysis
4.4 Summary of This Chapter
Chapter 5 Normalization of Facial Expression Image
5.1 Introduction
5.2 Rotation Normalization
5.3 Size Normalization
5.4 Illumination Normalization
5.5 Experimental Results and Analysis
5.6 Summary of This Chapter
Chapter 6 Extraction of Facial Expression Features
6.1 Introduction
6.2 Gabor Local Statistical Features
6.3 LBP Features
6.3.1 Basic LBP and Its Improvement
6.3.2 Uniform LBP Algorithm
6.3.3 Expression Features Extracted by LBP Histogram
6.4 Summary of This Chapter
Chapter 7 Facial Expression Recognition Based on Supervised Orthogonal Locality Preserving Projection
7.1 Introduction
7.2 LPP Algorithm
7.2.1 Laplacianface Algorithm
7.2.2 Orthogonal Laplacianface Algorithm
7.3 Expression Recognition with SOLPP
7.3.1 LDA
7.3.2 SOLPP
7.3.3 Classification of Facial Expressions
7.4 Experimental Results and Analysis
7.5 Summary of This Chapter
Chapter 8 Conclusion and Future Works
8.1 Conclusion
8.2 Future Works
References