基于ICA和SVM的人脸表情识别

Facial Expression Recognition Based on Independent Component Analysis and Support Vector Machines

利用独立成分分析方法提取人脸表情特征并利用SMV进行分类判决。实验表现了SMV在进行表情识别的特点．显示了SVM在人脸表情识别上的可行性和有效性。

This paper proposes an algorithm which adopts Independent Component Analysis （ICA） to extract face expression feature and Support Vector Machines （SVM） to recognize. Experimental found that during face recognition features of SVM and restflts show that the algorithm is feasible and effective for face expression recognition.