Paper
24 June 2005 An efficient method for facial expression recognition
Xudong Xie, Kin-Man Lam
Author Affiliations +
Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59602B (2005) https://doi.org/10.1117/12.631546
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China
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%.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xudong Xie and Kin-Man Lam "An efficient method for facial expression recognition", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59602B (24 June 2005); https://doi.org/10.1117/12.631546
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KEYWORDS
Distance measurement

Facial recognition systems

Wavelets

Databases

Data modeling

Statistical modeling

Autoregressive models

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