《面向人机交互的人脸表情识别技术=Facial Expression RecognitionTechnology for Human-Computer Interaction:英文》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，解决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研究。
目錄：
ContentsPrefaceChapter 1 Introduction 11.1 Research Background and Significance 11.2 Overview of Facial Expression Recognition 41.3 Research Status at Home and Abroad 71.3.1 Typical Facial Expression Recognition Algorithms 71.3.2 Existing Problems in Facial Expression Recognition 131.4 Research Contents 14Chapter 2 Color Constancy Algorithm for Color Image Under Complex Illumination Conditions 202.1 Introduction 202.2 Correction of Color Deviation 212.2.1 LoG Chrominance Edge Extraction 232.2.2 White Balance Adjustment 282.2.3 Experimental Results and Analysis 302.3 Luminance Enhancement 322.3.1 Retinex Enhancement Algorithm 322.3.2 Color Retention Enhancement Algorithm 352.3.3 Experimental Results and Analysis 402.4 Fractional Step Color Constancy Algorithm 422.5 Summary of This Chapter 45Chapter 3 Face Detection Algorithm with Multi-feature Fusion 463.1 Introduction 463.2 Skin Color Area Detection 493.2.1 Common Color Space 493.2.2 Skin Color Clustering Analysis 553.2.3 Skin Color Area Detection Algorithm 573.3 AdaBoost Face Detection Combined with Skin Color Features 603.3.1 AdaBoost Algorithm 623.3.2 AdaBoost Face Detection Algorithm Combined with Skin Color Features 673.4 Face Authentication Based on Harris Corner Point Detection 693.4.1 Principles for Harris Corner Point Detection 693.4.2 Harris Corner Point Detection Algorithm 713.4.3 Face Authentication Based on Harris Corner Point Detection 733.5 Experimental Results and Analysis 743.6 Summary of This Chapter 76Chapter 4 Facial Features Location 784.1 Introduction 784.2 Eye Location Based on the Robustness of Illuminated Expression 794.2.1 Multi-scale Self-quotient Image 804.2.2 Rough Location of Morphological Filtering 814.2.3 Precise Eye Location 854.2.4 Experimental Results and Analysis 864.3 Location System of Key Color Facial Feature Point 904.3.1 Overview of the System 904.3.2 Eyes Location 924.3.3 Mouth Location 954.3.4 Experimental Results and Analysis 974.4 Summary of This Chapter 99Chapter 5 Normalization of Facial Expression Image 1015.1 Introduction 1015.2 Rotation Normalization 1025.3 Size Normalization 1045.4 Illumination Normalization 1065.5 Experimental Results and Analysis 1105.6 Summary of This Chapter 111Chapter 6 Extraction of Facial Expression Features 1126.1 Introduction 1126.2 Gabor Local Statistical Features 1166.3 LBP Features 1206.3.1 Basic LBP and Its Improvement 1206.3.2 Uniform LBP Algorithm 1226.3.3 Expression Features Extracted by LBP Histogram 1246.4 Summary of This Chapter 125Chapter 7 Facial Expression Recognition Based on Supervised Orthogonal Locality Preserving Projection 1277.1 Introduction 1277.2 LPP Algorithm 1297.2.1 Laplacianface Algorithm 1297.2.2 Orthogonal Laplacianface Algorithm 1337.3 Expression Recognition with SOLPP 1357.3.1 LDA 1357.3.2 SOLPP 1367.3.3 Classification of Facial Expressions 1407.4 Experimental Results and Analysis 1417.5 Summary of This Chapter 147Chapter 8 Conclusion and Future Works 1488.1 Conclusion 1488.2 Future Works 150References 153
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