A skin color model based on modified GLHS space for face detection

被引：0
|
作者：
Zhang, Zhi-Wei [1 ]
Wang, Ming-Hui [2 ]
Lu, Zhe-Ming [2 ]
Zhang, Yong [3 ]
机构：
[1] School of Science, Qingdao Technological University, Qingdao, 266033, China
[2] School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, 310027, China
[3] ATR National Defense Technology Key Laboratory, College of Information Engineering, Shenzhen University, Shenzhen, 518060, China
来源：
Journal of Information Hiding and Multimedia Signal Processing | 2014年 / 5卷 / 02期
关键词：
Pixels - Color - Chemical detection - Clustering algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Face detection is one of the most useful research topics in computer vision. In the past several decades, there has been noticeable and successful achievement in face detection. However, it is still a challenge to obtain both low computational complexity and high detection efficiency. The main problem in existing skin color based face detection algorithms is that different illumination conditions will lead to different clustering results of the skin colored pixels. In this paper, we propose a new skin color model based on the modified GLHS (generalized LHS) color space to solve this problem. Experimental results show that our model can detect skin pixels with high accuracy under various illumination conditions and backgrounds. © 2014 ISSN 2073-4212.
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页码：144 / 151
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