DocumentCode
2558876
Title
Color face recognition based on NMF with Fisher rule
Author
Bai, Xiaoming ; Wang, Chengzhang
Author_Institution
Coll. of Inf., Capital Univ. of Econ. & Bus., Beijing, China
fYear
2010
fDate
16-18 April 2010
Firstpage
467
Lastpage
471
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.
Keywords
face recognition; feature extraction; image colour analysis; matrix decomposition; pattern classification; Fisher discrimination rule; Fisher-NMF algorithm; color face recognition; facial feature extraction; nearest neighborhood classifier; nonnegative matrix factorization; Data mining; Educational institutions; Face detection; Face recognition; Facial features; Finance; Image converters; Image recognition; Mathematics; Robustness; Face recognition; Fisher discrimination; Non-negative matrix factorization;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5478302
Filename
5478302
Link To Document