Fisher Diagonal NMF Based Color Face Recognition

摘要：

A novel color face recognition approach coined Fisher diagonal non-negative matrix factorization (Fisher-DNMF) is proposed in this paper. The approach employs block diagonal matrix to encode color information of different channels. Block diagonal constraint and Fisher discrimination constraint are imposed on the non-negative matrix factorization algorithm to factorize matrices of different channels simultaneously. And Fisher-DNMF algorithm is exploited 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.

关键词： Face recognition Non-negative matrix factorization Fisher discrimination

作者: Xiaoming Bai Chengzhang Wang

作者单位: College of Information, Capital University of Economics and Business, Beijing 100070, China College of Applied Mathematics, Central University of Finance and Economics, Beijing 100081, China

会议类型: 国际会议

会议名称: The 22nd China Control and Decision Conference(2010年中国控制与决策会议)

会议地点: 徐州

会议语种:英文

页码: 4158-4162

在线出版日期: 2010-05-26（万方平台首次上网日期，不代表论文的发表时间）