①(北京航空航天大学电子信息工程学院 北京 100191) ②(Department of Information and Communication Engineering, University of Tokyo, Japan)
Facial Expression Recognition Based on Feature Point Vector and Texture Deformation Energy Parameters
Yi Ji-zheng① Mao Xia① Ishizuka Mitsuru② Xue Yu-li①
①(School of Electronic and Information Engineering, Beihang University, Beijing 100191, China) ②(Department of Information and Communication Engineering, University of Tokyo, Japan)
Abstract:Facial expression recognition is a popular and difficult research field in human-computer interaction. In order to remove effectively the differences in expression feature caused by individual differences, this paper firstly presents the feature point distance ratio coefficient based on feature point vector, and then gives the concept of texture deformation energy parameters. Finally, merges previously mentioned two parts to form a new expression feature for facial expression recognition. The proposed method is tested in the Cohn-Kanade database and the BHU facial expression database, and the experimental results show the recognition rates of the proposed method comparing with the existing ones increased by 4.5% and 3.9%.
易积政, 毛峡, Ishizuka Mitsuru, 薛雨丽. 基于特征点矢量与纹理形变能量参数融合的人脸表情识别[J]. 电子与信息学报, 2013, 35(10): 2403-2410.
Yi Ji-Zheng, Mao Xia, Ishizuka Mitsuru, Xue Yu-Li. Facial Expression Recognition Based on Feature Point Vector and Texture Deformation Energy Parameters. , 2013, 35(10): 2403-2410.