MULTI-VIEW FACE DETECTION BASED ON CASCADE CLASSIFIER AND SKIN COLOR
In this paper,we propose a multi-view face detection method which combines Adaboost-based face detection and skin color information to improve the overall detection performance.First an input image is sent to a detector consisting of three parallel individual classifiers,and the output of each individual classifier is fused by some criterions to get a coarse merged result,and then rotate this original image by an angle of ±30° 1,so another two detection coarse results are obtained in a similar way.After these coarse results are merged into refined ones,each detected region contained in this refined result is filtered by a skin color detector,and the output of this detector is used to make up a final result contains regions supposed to have faces.Experimental results show that this combined method works well and can achieve a high detection rate of almost 93% on a dataset containing 270 faces with various poses and expressions.
Face detection Multi-view face detecti-on Skin color information Adaboost
Shuisheng Liu Yuan Dong Wei Liu Jian Zhao
Beijing University of Posts and Telecommunications,Beijing 100876,China France Telecom Orange Labs(Beijing),Beijing 100876,China Patent Examination Cooperation Centers of the Patent Office,SIPO,Beijing 100876,China
国际会议
杭州
英文
79-83
2012-10-30（万方平台首次上网日期，不代表论文的发表时间）