Screen space hair self shadowing by translucent hybrid ambient occlusion

Zhuopeng Zhang, Shigeo Morishima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationSmart Graphics - 13th International Symposium, SG 2015, Revised Selected Papers
PublisherSpringer Verlag
Pages29-40
Number of pages12
Volume9317 LNCS
ISBN (Print)9783319538372
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event13th International Symposium on Smart Graphics, SG 2015 - Chengdu, China
Duration: 2015 Aug 262015 Aug 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9317 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other13th International Symposium on Smart Graphics, SG 2015
CountryChina
CityChengdu
Period15/8/2615/8/28

Fingerprint

Shadowing
Occlusion
Rendering
Shading
Transparency
Attenuation
Adjacent
Lighting
Mesh
Real-time
Object
Model

Keywords

  • Computer animation
  • Deferred shading
  • Hair shadowing
  • Real-time rendering

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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

Screen space hair self shadowing by translucent hybrid ambient occlusion. / Zhang, Zhuopeng; Morishima, Shigeo.

Smart Graphics - 13th International Symposium, SG 2015, Revised Selected Papers. Vol. 9317 LNCS Springer Verlag, 2017. p. 29-40 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9317 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, Z & Morishima, S 2017, Screen space hair self shadowing by translucent hybrid ambient occlusion. in Smart Graphics - 13th International Symposium, SG 2015, Revised Selected Papers. vol. 9317 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9317 LNCS, Springer Verlag, pp. 29-40, 13th International Symposium on Smart Graphics, SG 2015, Chengdu, China, 15/8/26. https://doi.org/10.1007/978-3-319-53838-9_3
Zhang Z, Morishima S. Screen space hair self shadowing by translucent hybrid ambient occlusion. In Smart Graphics - 13th International Symposium, SG 2015, Revised Selected Papers. Vol. 9317 LNCS. Springer Verlag. 2017. p. 29-40. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-53838-9_3
Zhang, Zhuopeng ; Morishima, Shigeo. / Screen space hair self shadowing by translucent hybrid ambient occlusion. Smart Graphics - 13th International Symposium, SG 2015, Revised Selected Papers. Vol. 9317 LNCS Springer Verlag, 2017. pp. 29-40 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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