计算机应用与软件2011，Vol.28Issue(4)：47-49,3.
结合差图像和Gabor小波的人脸表情识别
FACIAL EXPRESSION RECOGNITION BASED ON COMBINATION OF DIFFERENCE IMAGE AND GABOR WAVELET
摘要
Abstract
In this paper we introduce a facial expression features extraction algorithm which is the combination of difference image and Gabor wavelet transform,and use the support vector machine (SVM) to recognise facial expression. For a given static grey image containing facial expression information,pre-processing is executed first,the expression sub-regions including the eyes and the mouth respectively are cut from the face for obtaining their difference images,then we extract Gabor feature vectors of the difference images, and employ downsampling to reduce the dimensionality of the eigenvectors, and normalise the treated data, finally we use SVM to classify the facial expression. This combination method has been compared with the recognition method which only extracts the. Gabor feature from expression sub-region, the result indicates that the combination one has better recognition performance.关键词
人脸表情识别(FER)/差图像/Gabor小波/支持向量机(SVM)Key words
Facial expression recognition (FER)/ Difference image/ Gabor wavelet/ Support vector machine (SVM)引用本文复制引用
丁志起,赵晖..结合差图像和Gabor小波的人脸表情识别[J].计算机应用与软件,2011,28(4):47-49,3.基金项目
国家自然科学基金(60962005) （60962005）
新疆维吾尔自治区自然科基金(200821124) （200821124）
教育部科学技术研究重点项目(208164). （208164）
