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Proceedings Paper

An efficient method for facial expression recognition
Author(s): Xudong Xie; Kin-Man Lam
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Paper Abstract

In this paper, an efficient method for human facial expression recognition is presented. Our method includes two major techniques: spatially maximum occurrence model (SMOM), which is used to describe the different facial expressions; and elastic shape-texture matching (ESTM), which is used to compute the similarity between two images. The combination of these two techniques, namely the SMOM-ESTM method, is used to classify the facial expressions. With our approach, the recognition rate based on the AR database is 94.5%.

Paper Details

Date Published: 31 July 2006
PDF: 8 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59602B (31 July 2006); doi: 10.1117/12.631546
Show Author Affiliations
Xudong Xie, The Hong Kong Polytechnic Univ. (Hong Kong China)
Kin-Man Lam, The Hong Kong Polytechnic Univ. (Hong Kong China)

Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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