論文

査読有り
2014年

Rendering fine hair-like objects with Gaussian noise

Proceedings of the ACM Symposium on Applied Perception, SAP 2014
  • Mikio Shinya
  • ,
  • Shin'ya Nishida

開始ページ
79
終了ページ
82
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1145/2628257.2628269
出版者・発行元
Association for Computing Machinery

When synthesizing images of fine objects like hair, we usually adopt sub-pixel drawing techniques to improve the image quality. For this paper, we analyzed the statistical features of images of thin lines and found that the distributions of the pixel values tended to be Gaussian. A psychophysical experiment showed that images of stripes with the appropriate Gaussian noise added are perceived to be finer than the original ones. We applied this perceptional property to hair rendering and developed a fast fine hair drawing algorithm. © 2014 ACM.

リンク情報
DOI
https://doi.org/10.1145/2628257.2628269
DBLP
https://dblp.uni-trier.de/rec/conf/apgv/ShinyaN14
URL
https://dblp.uni-trier.de/rec/conf/apgv/2014
URL
https://dblp.uni-trier.de/db/conf/apgv/sap2014.html#ShinyaN14
ID情報
  • DOI : 10.1145/2628257.2628269
  • ISBN : 9781450330091
  • DBLP ID : conf/apgv/ShinyaN14
  • SCOPUS ID : 84907393084

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