Presentation | 2005/11/17 A Face Image Beautification System Using Interactive Evolutionary Computing Kaoru ARAKAWA, Kohei NOMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Nonlinear digital filter / Face image processing / Interactive evolutionary computing / Optimization / Genetic algorithm |
Paper # | SIS2005-45 |
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Committee | SIS |
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Conference Date | 2005/11/17(1days) |
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Registration To | Smart Info-Media Systems (SIS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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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