高技术通讯2012，Vol.22Issue(4)：382-387,6.DOI:10.3772/j.issn.1002-0470.2012.04.008
基于组件距离匹配度函数检测部分遮挡的人脸方法
A method for detection of partially occluded faces based on component distance matching degree function
摘要
Abstract
To solve the problem of detecting the faces with partial occlusions better, a face detection method based on the component distance matching degree function was proposed. The method was carried out in the study as below: Firstly, the AdaboostSVM algorithm, i. e. the Adaboost algorithm based on a support vector machine (SVM), was used to detect the components of the faces included in the input image. Then, the component distance matching degree function was given, which was determined by the mean and variance of the components' distance together. The component integration verification algorithm based on the function of the component distance matching degree was proposed, and the locations of the occluded components were estimated. Finally, the faces with partial occlusions were detected and located. The experimental results show that the proposed algorithm can enhance the performance and the speed of detection of partially occluded faces, and can detect the faces with partial occlusions exactly in a complex background.关键词
人脸检测/基于组件/部分遮挡/AdaBoostSVM/组件距离匹配度Key words
face detection/ component-based/ partial occlusions/ AdaboostSVM/ component distance matching degree引用本文复制引用
郭耸,顾国昌,蔡则苏,刘海波,沈晶..基于组件距离匹配度函数检测部分遮挡的人脸方法[J].高技术通讯,2012,22(4):382-387,6.基金项目
863计划(2006AA04Z259),中央高校基本科研业务费专项资金(HEUCF100606,HEUCF100604,HEUCFZ1010)和国家教育部博士点专项基金(20092304120013)资助项目. （2006AA04Z259）
