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《Journal of Data Acquisition and Processing》 2018-02
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Multi View Face Detection Based on Multi-channel Discriminative Projection HAAR Features

Shen Jifeng;Shi Shiwei;Zuo Xin;Xu Dan;School of Electrical and Information Engineering,Jiangsu University;School of Computer Science and Engineering,Jiangsu University of Science and Technology;  
A multi view face detection algorithm based on multi-channel map discriminant projection HAAR feature is proposed.Firstly,the multi-channel map is extracted from the face image by the algorithm,which can reduce the influence of illumination and noise in the image.Secondly,based on the positive and negative training samples,the enhanced HAAR feature is learned by the linear discriminant projection,which can improve the distinguishing ability of the feature.Then the response in multi-channel of the augmented HAAR feature in the training sample is calculated,and the non symmetric GentleBoost algorithm is used to generate a set of weak classifiers.Finally,the weight and threshold of the strong classifier are adjusted by the linear non symmetric classifier.This method not only improves the distinguishing ability of the feature,but also realizes the reasonable division of the non balanced positive and negative sample space.Experimental results show that the proposed method has a faster detection speed and the higher detection accuracy compared with the classical methods.
【Fund】: 江苏省青年基金(BK20140566 BK20150470)资助项目;; 中国博士后基金(2014M561586)资助项目;; 江苏大学高级人才启动资金(13JDG093)资助项目;; 江苏省高校自然科学研究面上(15KJB520008 16KJB520009)资助项目
【CateGory Index】: TP391.41
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