基于哈达玛变换和链码角度模板匹配的人脸检测算法  

Human face detection algorithm based on Hadamard transform and chain angle template matching

作　　者：王剑峰[1] 赵晓容[1] 

机构地区：[1]重庆航天职业技术学院计算机工程系,重庆400021

出　　处：《计算机应用》2010年第A01期169-171,176,共4页journal of Computer Applications

基　　金：重庆航天职业技术学院科学技术项目(2010-YJKY-4)

摘　　要：首先利用统计原理检测出一幅图像的肤色区域,再通过哈达玛变换将这些区域从像素域变换到压缩域,最后通过改进和训练链码模板和角度模板来对候选肤色区域进行匹配和检测。实验结果显示,该方法在检测人脸的过程中速度快,漏检率较低,能正确地分辨人脸的肤色、胖瘦,算法设计简单可行,非常适合实时性要求高的图像检索系统。In this paper, firstly, the skin area of one image was detected with the statistics theory; next, this area was converted into compressed domain through discrete Hadamard transform; lastly, the new chain code template and angle template were proposed to judge whether the face region exists or not. The experimental results show that the proposed algorithm is superior in terms of human face retrieval precision, speed. It can distinguish face color, fat or thin, and is very suitable for real-time image retrieval system.

关 键 词：人脸检测 链码 角度模板 哈达玛变换 图像检索 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] TP391.41[自动化与计算机技术—计算机科学与技术]