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A Face Detection Algorithm Based on Adaboost and New Haar-Like Feature

机译:一种基于Adaboost和新哈尔样功能的面部检测算法

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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:本文采用了一种基于哈尔样功能的新型脸部检测方法。新的哈尔样功能是哈尔样功能的延伸。本文使用四个新的哈拉特征,并且具有现有哈拉特征的这些功能将Adaboost分类器一起输入以选择功能,最终构造了对面部检测的分类性能和强大的级联分类器。在检测实验之后,我们可以看到,与像haar-like这样的传统脸部检测分类器相比,该算法可以获得更好的结果。

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