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PHOG特征与聚类特征选择的笑脸识别方法

, PP. 23-28

Keywords: 笑脸识别,表情识别,PHOG特征,特征选择

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Abstract:

基于Gabor特征的人脸表情识别系统虽具有良好的识别性能,但特征维数大、分类器复杂度高。因此,文中提出一种基于PHOG特征与聚类线性鉴别分析(CLDA)的笑脸识别方法。PHOG特征的引入在于简化系统的运算复杂度,而CLDA克服传统线性鉴别分析方法的多模态问题。实验结果表明PHOG特征免去Gabor特征在Adaboost耗时的特征选择过程,具有和Gabor特征相当或更优的识别性能,且CLDA在维数降低时,系统的识别率能得到更好保持。

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