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Proceedings Paper

Hybrid method of holistic and analytic approach for face recognition
Author(s): Weigang Chen; Feihu Qi
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Paper Abstract

A two-stage face recognition method is proposed in this paper. In the first stage, we present a hybrid method of GA and gradient-based algorithm for training NMF. The set of candidates is narrowed down with the Euclidean distance in NMF subspace serving as the global similarity. In the second stage, face image is segmented into facial bands, and synergetic approach is employed for further recognition. The similarity between a given region of the query image and a stored sample is obtained as the order parameter which serves as an element of the order vector. A modified definition of the potential function is given, and the dynamic model of recognition is derived from it. The effectiveness of the proposed method is experimentally confirmed.

Paper Details

Date Published: 23 June 2003
PDF: 9 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502831
Show Author Affiliations
Weigang Chen, Shanghai Jiao Tong Univ. (China)
Feihu Qi, Shanghai Jiao Tong Univ. (China)

Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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