Paper Title - Facial Expression Recognition Using Local Facial Features


Abstract
Facial expression recognition has received a lot of attention in recent years due to its importance in many multimedia and human-computer interaction applications. One of the critical issues for a successful facial expression recognition system is to develop a discriminative feature descriptor. In this paper, we present a texture descriptor, Local Direction and Transition Pattern, to effectively capture the facial features. The recognition performance of the proposed method is evaluated on the Cohn-Kanade facial expression dataset with a support vector machine classifier. Experimental results show that the proposed method yields good recognition accuracy than other existing methods. Keywords- Facial Expression Recognition, Local Direction and Transition Pattern, Support Vector Machine

Author - Szu‐Han Wu, Chih‐Chin Lai, Chih‐Hung Wu, Shing‐Tai Pan, Shie‐Jue Lee

Citation - Szu‐Han Wu   ,   Chih‐Chin Lai   ,   Chih‐Hung Wu   ,   Shing‐Tai Pan   ,   Shie‐Jue Lee   ,   Szu‐Han Wu, Chih‐Chin Lai, Chih‐Hung Wu, Shing‐Tai Pan, Shie‐Jue Lee " Facial Expression Recognition Using Local Facial Features " , International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-3,Issue-11  ( Nov, 2015 )

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