Do You Like Sclera? Sclera-region Detection and Colorization for Anime Character Line Drawings
作者: Masashi AizawaYuichi SeiYasuyuki TaharaRyohei OriharaAkihiko Ohsuga
刊名: International Journal of Networked and Distributed Computing, 2019, Vol.7 (3)
来源数据库: Atlantis Press
DOI: 10.2991/ijndc.k.190711.001
原始语种摘要: Colorizing line drawings requires special skill, experience, and knowledge. Artists also spend a great deal of time and effort creating art. Given this background, research on automated line drawing colorization was recently conducted. However, the existing approaches present multiple problems, one of which is the inconsistency of the whites of the eyes (sclera) between line drawings and the results of colorizing. In particular, in line drawings, a person’s skin and sclera are often expressed in white. Hence, there are cases in which existing colorization methods cannot predict the boundary correctly. In this study, we propose automated colorization methods that use machine learning to segment sclera regions in grayscale line drawings. To improve the accuracy of previous automated...
全文获取路径: Atlantis出版社  (合作)
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关键词翻译
关键词翻译
  • drawings 提款
  • existing 现行
  • automated 自动
  • sclera 巩膜
  • machine 机器
  • inconsistency 不一致性
  • background 背景
  • region 地域
  • segment 
  • knowledge 知识