Abstract：At the present the facial expression recognition is susceptible to gender, nationality cultural factors. In order to get the robustness of face recognition method, a method based on the semantic and case-based
reasoning is presented. Firstly, this method automatically extracted face low-level feature points with DVF, and extracted the wrinkles with LBP. Then based on the semantic AHP method layered facial expression, parameterize expression semantic vector. Three con?dence estimators based k-NN proposed to calculate the weights of the semantic vector. Finally design facial expression classi?er based on CBR. The proposed method recognized facial expression in the image high-level semantic, is robust for gender, nationality culture. The experiments are conducted on Cohn-Kande database, the whole recognition rate of 95.07% is achieved. Theoretical analysis and experimental results both show that, the proposed method has better recognition e?ect than others.
2010, Vol. 7 
