NDLI: A Modified Non-negative Matrix Factorization Algorithm for Face Recognition

Content Provider	IEEE Xplore Digital Library
Author	Yun Xue Chong Sze Tong Wen-Sheng Chen Weipeng Zhang Zhenyu He
Copyright Year	2006
Description	Author affiliation: Dept. of Math., Hong Kong Baptist Univ. (Yun Xue; Chong Sze Tong)
Abstract	In this paper, we propose a new variation of the non-negative matrix factorization (NMF) for face recognition. The original NMF algorithm is distinguished from the other methods of pattern recognition by its non-negativity constraints which lead to a parts-based representation because they allow only additive combinations. However, it should be considered as an unsupervised method since class information in the training set is not used. To take advantage of more information in the training images and improve the performance for classification problem, we integrate the Fisher linear discriminant analysis into the NMF algorithm, which results in a novel modified non-negative matrix factorization algorithm. Our new update rule guarantees the non-negativity for all the coefficients and hence preserve the intuitive meaning for the base vectors and weight vectors while facilitating the supervised learning of within-class information. Our new technique is tested on a well-known face database: the ORL Face Database. The experimental results are very encouraging and outperformed traditional techniques including the original NMF and the eigenface method
Sponsorship	IEEE CPS
Starting Page	495
Ending Page	498
File Size	156421
Page Count	4
File Format	PDF
ISBN	0769525210
ISSN	10514651
DOI	10.1109/ICPR.2006.104
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-20
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Principal component analysis Vectors Image databases Mathematics Pattern recognition Linear discriminant analysis Content addressable storage Helium Computer science Fisher Linear Discriminant Analysis. Nonnegative Matrix Factorization Eigenface
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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