アラカワ カオル   Arakawa Kaoru
  荒川 薫
   所属   明治大学  総合数理学部
   職種   専任教授
言語種別 英語
発行・発表の年月 2012/11
形態種別 国際会議議事録
標題 Interactive Evolutionary Image Processing for Face
Beautification Using Smaller Population Size
執筆形態 共著(筆頭者以外)
掲載誌名 Proc. IEEE ISPACS 2012
巻・号・頁 pp.48-53
著者・共著者 Shinichiro Sumi, Juri Oinuma, Kaoru Arakawa, and Hiroshi Harashima
概要 A method to improve image processing with
interactive evolutionary computing (IEC) is proposed in order to
get a satisfactory output image with smaller population size. IEC
is a powerful method for designing a system on the basis of
human subjective criteria. Image processing with IEC is effective
to process images considering human subjective criteria and taste,
however, it requires a large PC system to show enough number of
candidate output images on a large display; this feature makes
this method difficult to be realized on a small mobile device. Here,
the number of the candidates corresponds to the population size
in the genetic algorithm (GA) in IEC. If the number of candidate
output images is restricted, IE image processing takes more
iteration time to get satisfactory result from small number of
candidates. In order to solve this problem, a method to improve
IEC is proposed so that the initial population is designed
effectively by clustering past optimized parameters, and the
generation change is modified by considering the significance of
the first choice. This method is applied to human face image
beautifying system, and the experimental results show that users
can get more satisfactory result with smaller number of iterations.
ISSN 978-1-4673-5081-5