Screen space hair self shadowing by translucent hybrid ambient occlusion

Zhuopeng Zhang, Shigeo Morishima

研究成果: Conference contribution

抜粋

Screen space ambient occlusion is a very efficient means to capture the shadows caused by adjacent objects. However it is incapable of expressing transparency of objects. We introduce an approach which behaves like the combination of ambient occlusion and translucency. This method is an extension of the traditional screen space ambient occlusion algorithm with extra density field input. It can be applied on rendering mesh objects, and moreover it is very suitable for rendering complex hair models. We use the new algorithm to approximate light attenuation though semi-transparent hairs at real-time. Our method is implemented on common GPU, and independent from pre-computation. When it is used in environment lighting, the hair shading is visually similar to however one order of magnitude faster than existing algorithm.

元の言語English
ホスト出版物のタイトルSmart Graphics - 13th International Symposium, SG 2015, Revised Selected Papers
出版者Springer Verlag
ページ29-40
ページ数12
9317 LNCS
ISBN(印刷物)9783319538372
DOI
出版物ステータスPublished - 2017
外部発表Yes
イベント13th International Symposium on Smart Graphics, SG 2015 - Chengdu, China
継続期間: 2015 8 262015 8 28

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9317 LNCS
ISSN(印刷物)03029743
ISSN(電子版)16113349

Other

Other13th International Symposium on Smart Graphics, SG 2015
China
Chengdu
期間15/8/2615/8/28

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Zhang, Z., & Morishima, S. (2017). Screen space hair self shadowing by translucent hybrid ambient occlusion. : Smart Graphics - 13th International Symposium, SG 2015, Revised Selected Papers (巻 9317 LNCS, pp. 29-40). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 9317 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-53838-9_3