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一种基于Adaboost的分层特征空间人脸检测的方法

, PP. 435-438

Keywords: 人脸检测,Adaboost,二维主成分分析(2DPCA)

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Abstract:

Viola和Jones的人脸检测方法在分类器训练后期,基于Haarlike特征的弱分类器分类能力变弱.针对此问题,提出一种基于Adaboost的分层特征空间的人脸检测方法.该方法让弱分类器在局部和全局特征空间中进行训练,增强弱分类器的分类性能.实验表明,本文方法提高系统的正确检测率,降低错误报警数,与当前人脸检测系统相比性能更优越.

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