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基于多角度LBP特征的三维0.3人脸性别分类

DOI: 10.3724/SP.J.1004.2012.01544, PP. 1544-1549

Keywords: 三维人脸,性别分类,局部区域最近邻点迭代算法(Iterativeclosestpoint,ICP),深度缩略图,多角度LBP

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Abstract:

?人脸性别分类是一个富有挑战的研究方向,目前的研究尚不完善.本文提出一种三维人脸的性别分类方法,首先对数据集进行局部区域最近邻点迭代算法(Iterativeclosestpoint,ICP)匹配,自动实现人脸正向姿态校正;对数据集人脸统一做俯仰角度的旋转,从不同视角上提取基于深度缩略图的多角度LBP(Localbinarypatterns)特征;再由支持向量机(Supportvectormachine,SVM)分类器完成训练分类.该方法在CASIA数据库上实验,对全库中性表情人脸进行性别分类,可以得到最高98.374%的正确率.

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