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Emotion recognition from color facial images based on multilinear image analysis and log-gabor filters

Lajevardi, S and Hussian, Z 2010, 'Emotion recognition from color facial images based on multilinear image analysis and log-gabor filters', in Dr.Jian Zhang, Dr.Chunhua Shen, Dr. Glenn Geers (ed.) Proceedings of DICTA, Sydney, Australia, 1 - 3 December, 2010, pp. 1-6.

Document type: Conference Paper
Collection: Conference Papers

Title Emotion recognition from color facial images based on multilinear image analysis and log-gabor filters
Author(s) Lajevardi, S
Hussian, Z
Year 2010
Conference name DICTA 2010
Conference location Sydney, Australia
Conference dates 1 - 3 December, 2010
Proceedings title Proceedings of DICTA
Editor(s) Dr.Jian Zhang, Dr.Chunhua Shen, Dr. Glenn Geers
Publisher IEEE
Place of publication Sydney, Australia
Start page 1
End page 6
Total pages 6
Abstract A novel approach is proposed for emotion recognition from low resolution color facial images. The 3D color images are unfolded to 2D matrix based on multilinear algebra. Then, the features are extracted from them by Log-Gabor filters. The optimum features are selected based on mutual information. These features are classiffied using linear discriminant analysis (LDA) classiffier. Experimental results carry out that the proposed method has large improvement in emotion recognition for 3D color facial images. Furthermore, the color subspace has a great impact in the rate of emotion recognition from low resolution images.
Subjects Signal Processing
Keyword(s) Color emotion recognition
multilinear image analysis
facial expression recognition
Log-Gabor filters
Copyright notice © 2010 IEEE
ISBN 9781424488162
 
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Created: Thu, 02 Jun 2011, 15:22:00 EST by Catalyst Administrator