2014年
Rendering fine hair-like objects with Gaussian noise
Proceedings of the ACM Symposium on Applied Perception, SAP 2014
- ,
- 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
- ID情報
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- DOI : 10.1145/2628257.2628269
- ISBN : 9781450330091
- DBLP ID : conf/apgv/ShinyaN14
- SCOPUS ID : 84907393084