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基于分类器联合的表情识别
引用本文:黄 勇,应自炉.基于分类器联合的表情识别[J].计算机工程与应用,2007,43(25):244-245.
作者姓名:黄 勇  应自炉
作者单位:[1]五邑大学信息学院,广东江门529020 [2]北京航空航天大学电子信息工程学院,北京100083 [3]广西柳州运输职业技术学院电子工程系,广西柳州545007
摘    要:提出了一种基于分类器联合的人脸表情识别方法。首先采用CKFD算法在双决策子空间中提取两类表情特征并融合;分别利用最近邻、最小距离和神经网络三种子分类器进行识别;最后运用模糊积分对子分类器的识别结果进行融合。基于JAFFE的实验结果表明,它是一种有效的表情识别方法。

关 键 词:模糊积分  分类器融合  人脸表情识别
文章编号:1002-8331(2007)25-0244-02
修稿时间:2007-01

Facial expression recognition based on multiclassifier fusion
HUANG Yong,YING Zi-lu.Facial expression recognition based on multiclassifier fusion[J].Computer Engineering and Applications,2007,43(25):244-245.
Authors:HUANG Yong  YING Zi-lu
Affiliation:1.School of Information,Wuyi University,Jiangmen,Guangdong,529020,China; 2.School of Electronics and Information Engineering,Beihang University,Beijing 100083,China; 3.Liuzhou Transport Vocational Technical College,Liuzho,Guangxi 545007,China
Abstract:A facial expression recognition method based on multiclassifier fusion with fuzzy integral has been proposed in this paper;First,applied the CKFD to extract two kinds of expression feature in double discriminant subspace and fuse them;Then the Nearest Neighbor(NN),Minimum Distance(MD) and Radial Basis Function Neural Network(RBFNN) have been used to classify facial expression;Finally,fuzzy integral has been applied to fuse outputs from three classifiers to get the final recognition result.Experimental result on JAFFE show that it is a valid method for facial expression recognition.
Keywords:fuzzy integral  multiclassifier fusion  facial expression recognition
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