Color face recognition based on NMF with Fisher rule

Xiaoming Bai, Chengzhang Wang
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Abstract

Color face provides more cues for face recognition task than grey scale ones. A novel color face recognition approach based on NMF algorithm with Fisher rule coined Fisher-NMF is proposed in this paper. The approach employs matrix to encode color information of different channels. Fisher discrimination rule is integrated with the non-negative matrix factorization algorithm to extract facial features. Nearest neighborhood classifier is adopted to identify color face samples. Experimental results on CVL and CMU PIE color face databases verify the effectiveness of the proposed approach.
基于Fisher规则的NMF彩色人脸识别
彩色人脸比灰度人脸为人脸识别任务提供更多的线索。提出了一种基于Fisher规则的NMF算法的彩色人脸识别方法。该方法采用矩阵对不同通道的颜色信息进行编码。将Fisher判别规则与非负矩阵分解算法相结合,提取人脸特征。采用最近邻分类器对彩色人脸样本进行识别。在CVL和CMU PIE彩色人脸数据库上的实验结果验证了该方法的有效性。
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