Face Localization using an Effective Co-Evolutionary Genetic Algorithm

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Title Face Localization using an Effective Co-Evolutionary Genetic Algorithm
Author Hajati, Farshid; Lucas, Caro; Gao, Yongsheng
Publication Title Proceedings 2010 Digital Image Computing: Techniques and Applications DICTA 2010
Editor Jian Zhang, Chunhua Shen, Glenn Geers, Qiang Wu
Year Published 2010
Place of publication United States
Publisher IEEE
Abstract In this paper, a new method for face localization in color images, which is based on co-evolutionary systems, is introduced. The proposed method uses a co-evolutionary system to locate the eyes in a face image. The used coevolutionary system involves two genetic algorithm models. The first GA model searches for a solution in the given environment, and the second GA model searches for useful genetic information in the first GA model. In the next step, by using the location of eyes in image the parameters of face's bounding ellipse (center, orientation, major and minor axis) are computed. To evaluate and compare the proposed method with other methods, high order Pseudo Zernike Moments (PZM) are utilized to produce feature vectors and a Radial Basis Function (RBF) neural network is used as the classifier. Simulation results indicate that the speed and accuracy of the new system using the proposed face localization method which uses a co-evolutionary approach is higher than the system proposed in [10]. Keywords-face localization; genetic algorithm; coevolutionary
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/DICTA.2010.116
Copyright Statement Copyright 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN 9780769542713
Conference name 2010 Digital Image Computing: Techniques and Applications (DICTA 2010)
Location Sydney, Australia
Date From 2010-12-01
Date To 2010-12-03
URI http://hdl.handle.net/10072/39002
Date Accessioned 2011-04-20
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Computer Vision; PRE2009-Pattern Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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