Revised NMF with LDA based color face recognition

Author

Bai, Xiaoming ; Wang, Chengzhang

Author_Institution

Coll. of Inf., Capital Univ. of Econ. & Bus., Beijing, China

Volume

1

fYear

2010

fDate

30-31 May 2010

Firstpage

156

Lastpage

159

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.

Keywords

face recognition; image colour analysis; matrix decomposition; CMU PIE databases; LDA based color face recognition; NMF; block diagonal matrix; color information encoding; grey scale; matrix factorization; Active matrix organic light emitting diodes; Educational institutions; Face recognition; Facial features; Finance; Image databases; Image recognition; Linear discriminant analysis; Mathematics; Principal component analysis; Face recognition; LDA; NMF;

fLanguage

English

Publisher

ieee

Conference_Titel

Networking and Digital Society (ICNDS), 2010 2nd International Conference on

Conference_Location

Wenzhou

Print_ISBN

978-1-4244-5162-3

Type

conf

DOI

10.1109/ICNDS.2010.5479607

Filename

5479607