loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2
Local Facial Asymmetry for Expression Classification
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
Sinjini Mitra, Carnegie Mellon University
Yanxi Liu, Carnegie Mellon University
We explore a novel application of facial asymmetry: expression classification. Using 2D facial expression images, we show the effectiveness of automatically selected local facial asymmetry for expression recognition. Quantitative evaluations of expression classification using local asymmetry demonstrate statistically significant improvements over expression classification results on the same data set without explicit representation of facial asymmetry. A comparison of discriminative local facial asymmetry features for expression classification versus human identification is given.
Citation:
Sinjini Mitra, Yanxi Liu, "Local Facial Asymmetry for Expression Classification," cvpr, vol. 2, pp.889-894, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004
Usage of this product signifies your acceptance of the Terms of Use.