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A face detection algorithm based on Adaboost and new Haar-Like feature

机译:基于Adaboost和Haar-Like新特征的人脸检测算法

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This paper uses a new face detection method based on Haar-Like feature. New Haar-Like feature is an extension of the Haar-Like feature basis. This article use four new Haar-Like feature, and these features with existing Haar-Like feature are input Adaboost classifier together to select feature, finally constructed classification performance and powerful cascade classifier for face detection. After detection experiments we can see, the algorithm can get better results compared with other traditional face detection classifiers like Haar-Like.
机译:本文采用了一种新的基于Haar-Like特征的人脸检测方法。新的Haar-Like功能是Haar-Like功能基础的扩展。本文使用了四个新的Haar-Like功能,并将这些功能与现有的Haar-Like功能一起输入Adaboost分类器以选择特征,最终构造了分类性能和强大的级联分类器以进行人脸检测。经过检测实验,我们可以看到,与其他传统的人脸检测分类器(如Haar-Like)相比,该算法可以获得更好的结果。

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