skip to main content
10.1145/1037210.1037214acmconferencesArticle/Chapter ViewAbstractPublication PagessccgConference Proceedingsconference-collections
Article

Exploiting temporal coherence in global illumination

Published:22 April 2004Publication History

ABSTRACT

Producing high quality animations featuring rich object appearance and compelling lighting effects is very time consuming using traditional frame-by-frame rendering systems. In this paper we present a number of global illumination and rendering solutions that exploit temporal coherence in lighting distribution for subsequent frames to improve the computation performance and overall animation quality. Our strategy relies on extending into temporal domain well-known global illumination techniques such as density estimation photon tracing, photon mapping, and bi-directional path tracing, which were originally designed to handle static scenes only.

References

  1. Christensen, P., Lischinski, D., Stollnitz, E., and Salesin, D. 1997. Clustering for glossy global illumination. ACM Transactions on Graphics 16, 1, 3--33. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Christensen, P. 2002. Photon Mapping Tricks. In Siggraph 2002, Course Notes No. 43, 93--121.Google ScholarGoogle Scholar
  3. Damez, C., Dmitriev, K., and Myszkowski, K. 2003. State of the art in global illumination for interactive applications and high-quality animations. Computer Graphics Forum 22, 1, 55--77.Google ScholarGoogle ScholarCross RefCross Ref
  4. Dmitriev, K., Brabec, S., Myszkowski, K., and Seidel, H.-P. 2002. Interactive Global Illumination Using Selective Photon Tracing. In Proceedings of the 13th Eurographics Workshop on Rendering, 25--36. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Halton, J. 1960. On the Efficiency of Certain Quasi-random Sequences of Points in Evaluating Multi-Dimensional Integrals. Numerische Mathematik, 2, 84--90.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Havran, V., Damez, C., Myszkowski, K., and Seidel, H.-P. 2003. An efficient spatio-temporal architecture for animation rendering. In Proceedings of Eurographics Symposium on Rendering 2003, ACM, 106--117. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Heckbert, P. 1990. Adaptive Radiosity Textures for Bidirectional Ray Tracing. In Computer Graphics (ACM SIGGRAPH '90 Proceedings), 145--154. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Jensen, H. 2001. Realistic Image Synthesis Using Photon Mapping. AK, Peters. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Keller, A. 1996. Quasi-Monte Carlo Radiosity. In Proceedings of the 7th Eurographics Workshop on Rendering, 101--110. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Lafortune, E. 1996. Mathematical Models and Monte Carlo Algorithms. PhD thesis, Katholieke Universiteit Leuven.Google ScholarGoogle Scholar
  11. Lischinksi, D., Tampieri, F., and Greenberg, D. 1993. Combining Hierarchical Radiosity and Discontinuity Meshing. In Computer Graphics (ACM SIGGRAPH '93 Proceedings), 199--208. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Myszkowski, K., Tawara, T., Akamine, H., and Seidel, H.-P. 2001. Perception-Guided Global Illumination Solution for Animation Rendering. In Proceedings of ACM SIGGRAPH 2001, 221--230. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Niederreiter, H. 1992. Random Number Generation and Quasi-Monte Carlo Methods. Chapter 4, SIAM, Pennsylvania. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Reichert, M. 1992. A Two-Pass Radiosity Method to Transmitting and Specularly Reflecting Surfaces. M.Sc. thesis, Cornell University.Google ScholarGoogle Scholar
  15. Shirley, P., Wade, B., Hubbard, P., Zareski, D., Walter, B., and Greenberg, D. 1995. Global Illumination via Density Estimation. In Proceedings of the 6th Eurographics Workshop on Rendering, 219--230.Google ScholarGoogle Scholar
  16. Smits, B. 1994. Efficient Hierarchical Radiosity in Complex Environments. Ph.D. thesis, Cornell University. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Tawara, T., Myszkowski, K., and Seidel, H.-P. 2002. Localizing the final gathering for dynamic scenes using the photon map. In Vision Modeling and Visualization 2002, 69--76.Google ScholarGoogle Scholar
  18. Tawara, T., Myszkowski, K., and Seidel, H.-P. 2004a. Efficient rendering of strong secondary lighting in photon mapping algorithm. In Theory and Practice of Computer Graphics (TPCG 2004), IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Tawara, T., Myszkowski, K., and Seidel, H.-P. 2004b. Exploiting temporal coherence in final gathering for dynamic scenes. In Computer Graphics International (CGI 2004), IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Veach, E. 1997. Robust Monte Carlo Methods for Light Transport Simulation. PhD thesis, Stanford University. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Volevich, V., Myszkowski, K., Khodulev, A., and Kopylov, E. 2000. Using the Visible Differences Predictor to Improve Performance of Progressive Global Illumination Computations. ACM Transactions on Graphics 19, 2, 122--161. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. Walter, B. 1998. Density Estimation Techniques for Global Illumination. Ph.D. thesis, Cornell University. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Ward, G., and Heckbert, P. 1992. Irradiance Gradients. In Proceedings of the 3rd Eurographics Workshop on Rendering, 85--98.Google ScholarGoogle Scholar
  24. Ward, G., Rubinstein, F., and Clear, R. 1988. A Ray Tracing Solution for Diffuse Interreflection. In Computer Graphics (ACM SIGGRAPH '88 Proceedings), 85--92. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Weber, M., Milch, M., Myszkowski, K., Dmitriev, K., Rokita, P., and Seidel, H.-P. 2004. Spatio-temporal photon density estimation using bilateral filtering. In Computer Graphics International (CGI 2004), IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  1. Exploiting temporal coherence in global illumination

    Recommendations

    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

      cover image ACM Conferences
      SCCG '04: Proceedings of the 20th Spring Conference on Computer Graphics
      April 2004
      233 pages
      ISBN:1581139675
      DOI:10.1145/1037210

      Copyright © 2004 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 April 2004

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • Article

      Acceptance Rates

      Overall Acceptance Rate42of81submissions,52%

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader