Morphological algorithms for face detection

被引：1
作者：
Chen, L [1 ]
Huang, XW [1 ]
Zhong, XR [1 ]
Wang, JJ [1 ]
机构：
[1] Soochou Univ, Sch Elect & Informat Engn, Suzhou 215021, Peoples R China
来源：
PROCEEDINGS OF 2005 IEEE INTERNATIONAL WORKSHOP ON VLSI DESIGN AND VIDEO TECHNOLOGY | 2005年
关键词：
face detection; Markov random field(MRF); top-hat filtering; bottom-hat filtering; watershed segmentation;
D O I：
10.1109/IWVDVT.2005.1504563
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This paper presents an efficient method for video-based face detection using MRF (Markov random field) and morphology. First, MRF theory is used to extract the moving objects. Then, the top-hat filtering, bottom-hat filtering and watershed segmentation algorithms are employed to segment the image. Finally, the face region is characterized by elliptical shape as an ellipse can approximate the shape of a face. The experimental results show that this approach is very efficient and robust.
引用
收藏
页码：109 / 112
页数：4
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