Facial expression recognition based on multiclassifier fusion

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (25): 244-245.

• 工程与应用 • Previous Articles Next Articles

Facial expression recognition based on multiclassifier fusion

HUANG Yong^1,3，YING Zi-lu^1,2

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

Received:1900-01-01 Revised:1900-01-01 Online:2007-09-01 Published:2007-09-01
Contact: HUANG Yong

基于分类器联合的表情识别

黄勇^1,3，应自炉^1,2

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

通讯作者: 黄勇

Abstract

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.

Key words: fuzzy integral, multiclassifier fusion, facial expression recognition

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

HUANG Yong^1,3，YING Zi-lu^1,2. Facial expression recognition based on multiclassifier fusion [J]. Computer Engineering and Applications, 2007, 43(25): 244-245.

黄勇^1,3，应自炉^1,2. 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.

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Facial expression recognition based on multiclassifier fusion

基于分类器联合的表情识别

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