Detection of human faces in color image using genetic algorithm

被引：0
|
作者：
Deng, HB [1 ]
Tao, QC [1 ]
机构：
[1] Beijing Inst Technol, Sch Informat Engn, Beijing 100081, Peoples R China
来源：
PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2004年
关键词：
face recognition; face detection; genetic algorithms;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a genetic approach for human faces detection is proposed. Firstly, the possible facial components are extracted from image, and then the geometry rules are employed to select the candidate eye pairs. Then genetic algorithm is applied to search for possible face regions from candidate eye pairs. The fitness value of each solution is measured based on the information of gray projection and skin-color distribution in face region. Experimental results show that the proposed approach is reliable, and it can detect the frontal human faces with various orientations.
引用
收藏
页码：3563 / 3567
页数：5
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