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一种基于RealAdaBoost算法的EOM人脸检测方法

, PP. 812-817

Keywords: 人脸检测,边缘方位匹配(EOM)方法,RealAdaBoost算法,区域选择策略

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Abstract:

提出一种基于RealAdaBoost算法的边缘方位匹配(EOM)人脸检测方法.该方法提取人脸图像的边缘方位特征,一定程度上克服光照等干扰因素的影响.采用RealAdaBoost算法通过多次迭代学习过程获取人脸的整体模式(全局特征点集).在每次迭代学习过程中,采用区域选择策略获取人脸的局部模式(局部特征点集).与传统的EOM方法相比,本文方法所获取的人脸模式更精确.正面人脸检测实验证实这一点.

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