数据采集与处理2018，Vol.33Issue(2)：270-279,10.DOI:10.16337/j.1004-9037.2018.02.009
基于多通道图判别投影HAAR特征的多视角人脸检测
Multi View Face Detection Based on Multi-channel Discriminative Projection HAAR Features
摘要
Abstract
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.关键词
多视角人脸检测/多通道图/Fisher判别投影/非对称线性分类器Key words
multi view face detection/multi-channel map/Fisher projection feature/asymmetric linear classifier分类
信息技术与安全科学引用本文复制引用
沈继锋,时士伟,左欣,徐丹..基于多通道图判别投影HAAR特征的多视角人脸检测[J].数据采集与处理,2018,33(2):270-279,10.基金项目
江苏省青年基金(BK20140566,BK20150470)资助项目 （BK20140566,BK20150470）
中国博士后基金(2014M561586)资助项目 （2014M561586）
江苏大学高级人才启动资金(13JDG093)资助项目 （13JDG093）
江苏省高校自然科学研究面上(15KJB520008,16KJB520009)资助项目. （15KJB520008,16KJB520009）
