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一种基于Haar-LikeT特征的人脸检测算法*

DOI: 10.16451/j.cnki.issn1003-6059.201501005, PP. 35-41

Keywords: 人脸检测,Haar-Like特征,Haar-LikeT特征,Adaboost分类器,级联分类器

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Abstract:

文中提出一种基于Haar-LikeT特征的人脸检测算法.Haar-LikeT特征是在Haar-Like特征的基础上的扩展,由于人脸五官分布的特殊性,在人脸模型上可以找到大量T字型结构特征.结合Haar-Like矩形特征描述人脸纹理的原理,文中提出4种类似Haar-Like特征的Haar-LikeT特征,并将这些Haar-LikeT特征与现有的Haar-Like特征一起输入Adaboost分类器进行特征选择,最终构建出分类性能强大的级联分类器并用于人脸检测.人脸检测实验表明该算法的有效性和优越性,其与Haar-Like分类器、LBP分类器等传统的人脸检测分类器相比获得更好的效果.

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