Presentation 2005/11/17
A Face Image Beautification System Using Interactive Evolutionary Computing
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Abstract(in English) An image processing system for beautifying human face images is proposed using interactive evolutionary computing. Authors proposed before a nonlinear digital filter bank system which removes undesirable skin components, such as wrinkles and spots, from human face images to make the face look beautified. The system was so effective, but it requires a lot of parameters to be adjusted, which were set by trial and error. In this paper, the evolutionary computing is newly introduced into the nonlinear digital filter bank to set the values of the parameters optimally so that the output face image be highly evaluated on the basis of subjective criteria. Here, the genetic algorithm is applied to the optimization. The new face image processing system is verified to be effective in processing some actual face images.
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Keyword(in English) Nonlinear digital filter / Face image processing / Interactive evolutionary computing / Optimization / Genetic algorithm
Paper # SIS2005-45
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Committee SIS
Conference Date 2005/11/17(1days)
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Title (in English) A Face Image Beautification System Using Interactive Evolutionary Computing
Sub Title (in English)
Keyword(1) Nonlinear digital filter
Keyword(2) Face image processing
Keyword(3) Interactive evolutionary computing
Keyword(4) Optimization
Keyword(5) Genetic algorithm
1st Author's Name Kaoru ARAKAWA
1st Author's Affiliation Dept. of Computer Science, Meiji University()
2nd Author's Name Kohei NOMOTO
2nd Author's Affiliation Mitsubishi Electric Corporation
Date 2005/11/17
Paper # SIS2005-45
Volume (vol) vol.105
Number (no) 426
Page pp.pp.-
#Pages 4
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