文件名称:svm_face_recognition
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一篇很不错的关于人脸表情识别的论文。论文提出了一种基于人脸局部特征的表情识别方法,先选取人脸重要的局部特征,对得到的局部特征进行主成分分析,然后用支持向量机( SVM)设计局部特征分类器来确定测试表情图像中局部特征,同时设计支持向量机( SVM)表情分类器,确定表情图像的所属类别。-A very good facial expression recognition on paper. This paper proposes a feature based on local expression of face recognition, face first select the important local features, local features of the obtained principal component analysis, and support vector machine (SVM) classifier design to determine the local characteristics of test expression image local features, while design of support vector machine (SVM) classifier expression, determine the expression of the image category.
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svm_face_recognition\基于人脸局部特征和SVM的表情识别.pdf
svm_face_recognition
svm_face_recognition