A Face Detection Based on Frontal-Inverse Adaboost Algorithm

摘要：

Accurately locating and tracking the position of the users face is important for autostereoscopic display. In this paper, a cascade face detector learnt by using real Adaboost algorithm is presented, and for the purpose of reducing the false alarm, a novel procedure called Frontal-Inverse Adaboost which detects the sub-window twice (one is frontal and another is inverse) is proposed. A set of experiments are presented, the results indicate that the precision improving to normal Adaboost algorithm is satisfying. It can be seen that the proposed method is very efficient and has lots of significant values to autostereoscopic display.

关键词： Frontal-Inverse Adaboost Hair Feature Look-up Table

作者: Chengping Yang Yuanqing Wang

作者单位: Department of Science and Engineering, Nanjing University, Nanjing 210093, China Department of Science and Engineering,Nanjing University, Nanjing 210093, China

会议类型: 国际会议

会议名称: 2007亚洲显示国际会议（AD07）

会议地点: 上海

会议语种:英文

页码: 983-988

在线出版日期: 2007-03-12（万方平台首次上网日期，不代表论文的发表时间）