Title :
Robust face detection for direction changing using evolutionary algorithms
Author :
Mitsukura, Yasue ; Mitsukura, Kensuke ; Fukumi, Minoru ; Akamatsu, Norio ; Omatu, Sigeru
Author_Institution :
Fac. of Educ., Okayama Univ., Japan
Abstract :
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.
Keywords :
face recognition; feature extraction; genetic algorithms; image colour analysis; color information; evolutionary algorithms; feature extraction; genetic algorithm; human lip colour; human skin colour; multivalue images; robust face detection; threshold image selection; Brightness; Color; Data mining; Evolutionary computation; Face detection; Genetic algorithms; Humans; Lips; Robustness; Skin;
Conference_Titel :
Computational Intelligence in Robotics and Automation, 2003. Proceedings. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7866-0
DOI :
10.1109/CIRA.2003.1222294
