Robust face detection for direction changing using evolutionary algorithms

Threshold selection in multi-value images is performed based on their color information. When the threshold in an image is fixed it lacks versatility for the others. Because the color information varies under the influence of light conditions. In this paper, a Genetic Algorithm (GA) is used to selec...

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Bibliographic Details
Published inProceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694) Vol. 2; pp. 870 - 873 vol.2
Main Authors Mitsukura, Y., Mitsukura, K., Fukumi, M., Akamatsu, N., Omatu, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2003
Subjects
Brightness
Color
Data mining
Evolutionary computation
Face detection
Genetic algorithms
Humans
Lips
Robustness
Skin
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Summary:Threshold selection in multi-value images is performed based on their color information. When the threshold in an image is fixed it lacks versatility for the others. Because the color information varies under the influence of light conditions. In this paper, a Genetic Algorithm (GA) is used to select the most likely values of lips and skin colors in a light condition. It is possible to extract objects from the multi-value image only with the color information. In this paper, the objects of extraction are chosen to be the human lips and skin colors.
ISBN:9780780378667
0780378660
DOI:10.1109/CIRA.2003.1222294