10.1145/2897839.2927418acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedings
invited-talk

Sparse shadow tree

Published:24 July 2016

ABSTRACT

Lighting large outdoor scenes continues to present a challenge for realtime rendering. While techniques such as Parallel Split Shadow Maps [Zhang 2006] work well for a subset of the view frustum they fail to account for all shadowing in an outdoor scene. Lightmaps are often used as a fallback but require a unique UV parameterization and do not provide occlusion for moving objects. With deferred rendering the additional gbuffer overhead for unique parameterizations presents a challenge as well, making it costly to maintain the lightmap machinery in a modern pipeline.

References

  1. Sintorn, E., Kampe, V., Olsson, O., and Assarsson, U. 2014. Compact precomputed voxelized shadows. ACM Transactions on Graphics 33, 150 (July). Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Weiskopf, D., and Ertl, T. 2003. Shadow mapping based on dual depth layers. Proceedings of Eurographics 3, 53--60.Google ScholarGoogle Scholar
  3. Zhang, F., Sun, H., Xu, L., and Lun, L. K. 2006. Parallel-split shadow maps for large-scale virtual environments. Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications (June), 311--318. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Sparse shadow tree

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      ACM Conferences cover image
      SIGGRAPH '16: ACM SIGGRAPH 2016 Talks
      July 2016
      158 pages
      ISBN:9781450342827
      DOI:10.1145/2897839

      Copyright © 2016 Owner/Author

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 July 2016

      Qualifiers

      • invited-talk

      Acceptance Rates

      Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader
    About Cookies On This Site

    We use cookies to ensure that we give you the best experience on our website.

    Learn more

    Got it!