Face recognition with non-negative matrix factorization

被引：4
作者：
Rajapakse, M [1 ]
Wyse, L [1 ]
机构：
[1] Inst Infocomm Res, Singapore 119613, Singapore
来源：
VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2003, PTS 1-3 | 2003年 / 5150卷
关键词：
NMF; gabor; PCA; face recognition;
D O I：
10.1117/12.502365
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
A face can conceptually be represented as a collection of sparsely distributed parts: eyes, nose, mouth, etc. We use Non-negative Matrix Factorization (NMF) to yield sparse representation of localized features to represent distributed parts over a human face. This paper explores the potential of NMF for face recognition and the possibilities for gender-based features in face reconstruction. Further, we compare the results of NMF with other common face recognition methods.
引用
收藏
页码：1838 / 1847
页数：10
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