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一种基于肤色和模板梯度的人脸检测方法
引用本文:何良华,邹采荣,赵力.一种基于肤色和模板梯度的人脸检测方法[J].应用科学学报,2004,22(4):487-492.
作者姓名:何良华  邹采荣  赵力
作者单位:1. 东南大学,学习科学研究中心,江苏,南京,210096;东南大学,无线电工程系,江苏,南京,210096
2. 东南大学,无线电工程系,江苏,南京,210096
基金项目:教育部《面向21世纪教育振兴行动计划》资助项目
摘    要:提出了一种基于肤色和模板梯度的人脸榆测方法,该方法首先利用肤色信息找到人脸的大致位置,再利用主分量分析提取出公共脸并以此作为匹配模板,最终采用二阶梯度法作为判别准则.结果表明本算法能明显地提高检测速度,检测率比一般的模板法有较大地提高.

关 键 词:人脸检测  匹配模板  检测率  肤色  主分量分析  梯度  算法  取出  法能  阶梯
文章编号:0255-8297(2004)04-0487-06

A Method Using Skin-Color and Template Gradients for Face Detection
HE Liang-hua.A Method Using Skin-Color and Template Gradients for Face Detection[J].Journal of Applied Sciences,2004,22(4):487-492.
Authors:HE Liang-hua
Institution:HE Liang-hua~
Abstract:Face detection is a traditional subject. However with the development of computer science, it is attracting increasing attention. In this paper a combined method for face detection is proposed using skin-color detection and template gradient matching. First, skin-color regions which are considered as face candidate areas are detected using a color model. The principal component analysis is then carried out to produce a common face which is used as a matching face model. Finally, the second order gradient is employed as a decision criterion. Experimental results show that the proposed method can substantially increase detection speed and improve the detection rate.
Keywords:face detection  skin-color  principal component analysis
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