An efficient algorithm for human face detection and facial feature extraction under different conditions

被引：90

作者：

Wong, KW ^{[1
]}

Lam, KM ^{[1
]}

Siu, WC ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Ctr Multimedia Signal Proc, Hong Kong, Hong Kong, Peoples R China

来源：

PATTERN RECOGNITION | 2001年 / 34卷 / 10期

关键词：

face detection; facial feature extraction; genetic algorithm; eigenface technique;

D O I：

10.1016/S0031-3203(00)00134-5

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, an efficient algorithm for human face detection and facial feature extraction is devised. Firstly, the location of the face regions is detected using the genetic algorithm and the eigenface technique. The genetic algorithm is applied to search for possible face regions in an image. while the eigenface technique is used to determine the fitness of the regions. As the genetic algorithm is computationally intensive, the searching space is reduced and limited to the eye regions so that the required timing is greatly reduced. Possible face candidates are then further verified by measuring their symmetries and determining the existence of the different facial features. Furthermore, in order to improve the level of detection reliability in our approach, the lighting effect and orientation of the faces are considered and solved. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.

引用

页码：1993 / 2004

页数：12

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