基于改进的非负矩阵分解的人脸表情识别

针对存在部分遮挡的人脸,提出了一种基于改进的非负矩阵分解的人脸表情识别方法,首先,用改进的非负矩阵分解算法对人脸图像进行表情特征提取,然后用最大相关分类器对面部表情进行分类。在Cohn-Kanade人脸表情数据库上的实验,结果表明,该方法提高了无遮挡的人脸表情识别,对有遮挡的人脸表情识别也有改善。

Facial Expression Recognition Based on Improved Non-negative Matrix Factorization

This paper presented a facial expression recognition method based on improved non-negative matrix factorization with sub-region occlusion judgment.Given a still image containing facial expression information,expression feature vectors are extracted by non-negative matrix factorization firstly.Secondly,facial expressions are classified by using a maximum correlation classifier.Experiment on Cohn-Kanade facial expression database shows that the method improves the expression recognition for both non-occluded ...