Face Detection Based on Skin Color and Adaboost Algorithm

被引：0
|
作者：
Zhang, Danyang [1 ]
机构：
[1] Tianjin Elect Informat Coll, Dept Software Technol, Tianjin, Peoples R China
来源：
2ND INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND INDUSTRIAL AUTOMATION (ICITIA 2017) | 2017年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of multiple face detection and missed detection caused by illumination and complex background is avoided. A multi face detection algorithm based on skin color and Adaboost algorithm is proposed. The first chapter of this article is to apply the CbCrCg space based on the least squares of the skin color clustering model as the pretreatment process of face detection, And then you need to go further and take the area as an input image and you go through the Adaboost cascade classifier for face detection, To further remove non-face areas in the skin area, Finally, a more accurate face orientation is achieved.
引用
收藏
页码：213 / 217
页数：5
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