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http://dx.doi.org/10.5391/JKIIS.2004.14.5.617

Face Detection Algorithm Using Pulse-Coupled Neural Network in Color Images  

Lim, Young-Wan (LG 전자 전자기술원 Mobile Multimedia 연구소)
Na, Jin-Hee (서울대학교 전기컴퓨터공학)
Choi, Jin-Young (서울대학교 전기컴퓨터공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.14, no.5, 2004 , pp. 617-622 More about this Journal
Abstract
In this work, we suggested the method which improves the efficiency of the face detection algorithm using Pulse-Coupled Neural Network. Face detection algorithm which uses the color information is independent on pose, size and obstruction of a face. But the use of color information encounters some problems arising from skin-tone color in the background, intensity variation within faces, and presence of random noise, and so on. Depending on these conditions, we obtained the mean and variance of the skin-tone colors by experiments. Then we introduce a preprocess that the pixel with a mean value of skin-tone colors has highest level value (255) and the other pixels in the skin-tone region have values between 0 and 255 according to a normal distribution with a variance. This preprocess leads to an easy decision of the linking coefficient of Pulse-Coupled Neural Network.
Keywords
Pulse-Coupled Neural Network; preprocess; linking coefficient;
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