ADABOOST ALGORITHM BASED ON MB-LBP FEATURES WITH SKIN COLOR SEGMENTATION FOR FACE DETECTION

摘要：

　　Face detection is a complicated and important problemin pattern recognition and also has wide application.SinceViola and Jones work effective and real-time face detectionhas been made possible by using the method of rectangleHaar-like features with AdaBoost learning.In this paper aface detection algorithm based on AdaBoost has beenimplemented,but we extract MB-LBP features instead ofHaar features,which are used for Training of AdaBoostdassifier.In order to reduce false alarm rate,we alsocombine skin color with AdaBoost.

关键词： Face detection Skin color MB-LBP

作者: KAI-BIAO GE JING WEN BIN FANG

作者单位: Department of Computer Science, Chongqing University, Chongqing 400030, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 40-43

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）