Component-Based Multi-Classifier Fusion for Face Detection

摘要：

A wide variety of present approaches work well in detecting frontal faces, but they are often unable to detect faces with partial occlusion, rotation and strong shadows. To address this problem, we propose an efficient technique. First, we filter the facelike regions from the input image using skin-color model. And then component classifiers are used to detect the faces components from these potential regions. At last, according to geometrical relation between components, we locate faces. The experimental results illustrate that this method has superior efficiency on both of occluded face and non-occluded face.

关键词： Face Detection Skin-Color Model Face Components AdaBoost Component Classifier

作者: Fan Yang Min Li Shuiying Yu

作者单位: College of Mathematics Physics And Information Engineering,ZheJiang Normal University Jinhua 321004, College of Mathematics Physics And Information Engineering,ZheJiang Normal University,Jinhua 321004,

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 498-502

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）