Research on Face Detection based on fast Haar feature

被引：0
|
作者：
Wang, Shuang [1 ]
Wen, Guanyu [2 ]
Cai, Hua [3 ]
机构：
[1] Changchun China Opt Sci & Technol Museum, Changchun, Jilin, Peoples R China
[2] Chinese Acad Sci, Natl Astron Observ, Changchun Observ, Beijing, Peoples R China
[3] Changchun Univ Sci & Technol, Changchun, Jilin, Peoples R China
来源：
2017 10TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI) | 2017年
关键词：
AdaBoost; Face detection; Haar features;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Face detection refers to any given image, using a certain strategy to search for it to determine whether it contains the face, if it is to return to a face position, size and attitude. At present, it is a hot research topic in the field of computer vision and pattern recognition. It has a wide range of applications in the field of image processing, intelligent monitoring, intelligent vehicle system. Face detection is a complex and challenging pattern detection problem. There are two main difficulties, on the one hand, due to the inherent changes in the face, on the other hand, due to changes in external conditions caused by. In this paper, AdaBoost face detection algorithm based on Haar feature is implemented in the face detection phase. In order to determine whether the detected face is a positive face, the human eye detection algorithm based on integral projection is proposed.
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页数：6
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