关键词: Gabor小波, 局部二值模式, 中心误差补偿二值模式, 支持向量机, 表情识别

Abstract: In order to solve the limitations of Gabor wavelet and Local Binary Pattern（LBP） in facial expression recognition, a method based on multi-scale Center Error Compensation Binary Pattern（CECBP） is proposed. In the method, the images are preprocessed and multi-scale pyramid of these images are then created. Center Error Compensation Binary Pattern（CECBP） is utilized to encode the images of every layer in image pyramid. The chunked and encoded histogram sequences are used as a feature and Support Vector Machine（SVM） is used in classification. To demonstrate the superiority of the proposed method over traditional Gabor wavelet and LBP, cross-validations on JAFFE, Cohn-Kanade and Pain expression database, it shows that the method can not only suppress noise, but also have state-of-the-art classification accuracy and faster recognition speed.

Key words: Gabor wavelet；Local Binary Pattern（LBP）, Center Error Compensation Binary Pattern（CECBP）, Support Vector Machine（SVM）, expression recognition