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面向人机交互的人脸表情识别技术(英文版)

面向人机交互的人脸表情识别技术(英文版)

作者:宋斌,张志勇

出版社:科学出版社

出版时间:2022-06-01

ISBN:9787030674661

定价:¥98.00

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内容简介
  《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。
作者简介
暂缺《面向人机交互的人脸表情识别技术(英文版)》作者简介
目录
Contents \n
Preface \n
Chapter 1 Introduction 1 \n
1.1 Research Background and Significance 1 \n
1.2 Overview of Facial Expression Recognition 4 \n
1.3 Research Status at Home and Abroad 7 \n
1.3.1 Typical Facial Expression Recognition Algorithms 7 \n
1.3.2 Existing Problems in Facial Expression Recognition 13 \n
1.4 Research Contents 14 \n
Chapter 2 Color Constancy Algorithm for Color Image Under Complex Illumination Conditions 20 \n
2.1 Introduction 20 \n
2.2 Correction of Color Deviation 21 \n
2.2.1 LoG Chrominance Edge Extraction 23 \n
2.2.2 White Balance Adjustment 28 \n
2.2.3 Experimental Results and Analysis 30 \n
2.3 Luminance Enhancement 32 \n
2.3.1 Retinex Enhancement Algorithm 32 \n
2.3.2 Color Retention Enhancement Algorithm 35 \n
2.3.3 Experimental Results and Analysis 40 \n
2.4 Fractional Step Color Constancy Algorithm 42 \n
2.5 Summary of This Chapter 45 \n
Chapter 3 Face Detection Algorithm with Multi-feature Fusion 46 \n
3.1 Introduction 46 \n
3.2 Skin Color Area Detection 49 \n
3.2.1 Common Color Space 49 \n
3.2.2 Skin Color Clustering Analysis 55 \n
3.2.3 Skin Color Area Detection Algorithm 57 \n
3.3 AdaBoost Face Detection Combined with Skin Color Features 60 \n
3.3.1 AdaBoost Algorithm 62 \n
3.3.2 AdaBoost Face Detection Algorithm Combined with Skin Color Features 67 \n
3.4 Face Authentication Based on Harris Corner Point Detection 69 \n
3.4.1 Principles for Harris Corner Point Detection 69 \n
3.4.2 Harris Corner Point Detection Algorithm 71 \n
3.4.3 Face Authentication Based on Harris Corner Point Detection 73 \n
3.5 Experimental Results and Analysis 74 \n
3.6 Summary of This Chapter 76 \n
Chapter 4 Facial Features Location 78 \n
4.1 Introduction 78 \n
4.2 Eye Location Based on the Robustness of Illuminated Expression 79 \n
4.2.1 Multi-scale Self-quotient Image 80 \n
4.2.2 Rough Location of Morphological Filtering 81 \n
4.2.3 Precise Eye Location 85 \n
4.2.4 Experimental Results and Analysis 86 \n
4.3 Location System of Key Color Facial Feature Point 90 \n
4.3.1 Overview of the System 90 \n
4.3.2 Eyes Location 92 \n
4.3.3 Mouth Location 95 \n
4.3.4 Experimental Results and Analysis 97 \n
4.4 Summary of This Chapter 99 \n
Chapter 5 Normalization of Facial Expression Image 101 \n
5.1 Introduction 101 \n
5.2 Rotation Normalization 102 \n
5.3 Size Normalization 104 \n
5.4 Illumination Normalization 106 \n
5.5 Experimental Results and Analysis 110 \n
5.6 Summary of This Chapter 111 \n
Chapter 6 Extraction of Facial Expression Features 112 \n
6.1 Introduction 112 \n
6.2 Gabor Local Statistical Features 116 \n
6.3 LBP Features 120 \n
6.3.1 Basic LBP and Its Improvement 120 \n
6.3.2 Uniform LBP Algorithm 122 \n
6.3.3 Expression Features Extracted by LBP Histogram 124 \n
6.4 Summary of This Chapter 125 \n
Chapter 7 Facial Expression Recognition Based on Supervised Orthogonal Locality Preserving Projection 127 \n
7.1 Introduction 127 \n
7.2 LPP Algorithm 129 \n
7.2.1 Laplacianface Algorithm 129 \n
7.2.2 Orthogonal Laplacianface Algorithm 133 \n
7.3 Expression Recognition with SOLPP 135 \n
7.3.1 LDA 135 \n
7.3.2 SOLPP 136 \n
7.3.3 Classification of Facial Expressions 140 \n
7.4 Experimental Results and Analysis 141 \n
7.5 Summary of This Chapter 147 \n
Chapter 8 Conclusion and Future Works 148 \n
8.1 Conclusion 148 \n
8.2 Future Works 150 \n
References 153
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