Revised NMF with LDA based color face recognition

Xiaoming Bai, Chengzhang Wang
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引用次数: 6

Abstract

Color face is composed of information of different channels and provides more cues for recognition than grey scale one. A revised NMF with LDA based color face recognition approach is proposed in this paper. Block diagonal matrix is exploited to encode color information of different channels. And block diagonal constraint is imposed on NMF to factorize matrix. Class information of face samples is integrated into the approach through LDA on factorization coefficients. Experimental results on CVL and CMU PIE databases verify the effectiveness of the proposed approach.
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基于LDA的彩色人脸识别改进NMF
彩色人脸由不同通道的信息组成,比灰度人脸提供了更多的识别线索。提出了一种改进的基于LDA的NMF彩色人脸识别方法。利用分块对角矩阵对不同信道的颜色信息进行编码。并对NMF施加对角块约束,对矩阵进行因式分解。通过对分解系数的LDA,将人脸样本的分类信息整合到该方法中。在CVL和CMU PIE数据库上的实验结果验证了该方法的有效性。
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