Citation
Teoh, , ABJ and Ngo, , DCL and Neo, , HF (2005) Sorted locally confined non-negative matrix factorization in face verification. 2005 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS, VOLS 1 AND 2, PROCEEDINGS: VOL 1: COMMUNICATION THEORY AND SYSTEMS - VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS. pp. 820-824. Full text not available from this repository.Abstract
In this paper, we propose a face recognition technique based on modification of Non-Negative Matrix Factorization (NMF) technique, which known as Sorted Locally Confined NMF (SLC-NMF). SLC-NMF used NMF to find non negative basis images, subset of them were selected according to a discriminant factor and then processed through a series of image processing operation; to yield a set of ideal locally confined salient feature basis images. SLC-NMF illustrates perfectly local salient feature region which effectively realize "recognition by parts" paradigm for face recognition. The best performance is attained by SLC-NMF compare to the PCA, NMF and local NMF, in FERET Face Database.
Item Type: | Article |
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television |
Divisions: | Faculty of Information Science and Technology (FIST) |
Depositing User: | Ms Rosnani Abd Wahab |
Date Deposited: | 23 Aug 2011 07:36 |
Last Modified: | 23 Aug 2011 07:36 |
URII: | http://shdl.mmu.edu.my/id/eprint/2335 |
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