Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/25112
Title: An efficient algorithm for human face detection and facial feature extraction under different conditions
Authors: Wong, KW
Lam, KM 
Siu, WC 
Keywords: Eigenface technique
Face detection
Facial feature extraction
Genetic algorithm
Issue Date: 2001
Publisher: Elsevier
Source: Pattern recognition, 2001, v. 34, no. 10, p. 1993-2004 How to cite?
Journal: Pattern recognition 
Abstract: 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.
URI: http://hdl.handle.net/10397/25112
ISSN: 0031-3203
EISSN: 1873-5142
DOI: 10.1016/S0031-3203(00)00134-5
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