Towards interactive global illumination effects via sequential Monte Carlo adaptation

RT'08 - IEEE/EG Symposium on Interactive Ray Tracing 2008, Proceedings

Volumn , Issue , 2008, Pages 107-114

  Pegoraro, Vincent ^a   Brownlee, Carson ^a   Shirley, Peter S ^a,b   Parker, Steven G ^a,b  

^a UNIVERSITY OF UTAH   (United States)

^b NVIDIA   (United States)

Author keywords

I.3.7 computer graphics : three dimensional graphics and realism ray tracing

Indexed keywords

COMPUTATIONAL OVERHEADS; CONTROL VARIATES; CONVERGENCE RATES; GLOBAL ILLUMINATIONS; I.3.7 [COMPUTER GRAPHICS]: THREE-DIMENSIONAL GRAPHICS AND REALISM - RAY-TRACING; IMPORTANCE SAMPLINGS; INTERACTIVE GLOBAL ILLUMINATIONS; INTERACTIVE RENDERINGS; NOVEL METHODS; PIXEL STRUCTURES; PREDICATE FUNCTIONS; RENDERING PROCESSES; SCENE REPRESENTATIONS; SEQUENTIAL MONTE CARLO; SINGLE PARAMETERS; SINGLE PASSES; VARIANCE REDUCTIONS;

COLOR IMAGE PROCESSING; COMPUTATIONAL GEOMETRY; COMPUTER GRAPHICS; CONVERGENCE OF NUMERICAL METHODS; ELEMENTARY PARTICLE SOURCES; MONTE CARLO METHODS; THREE DIMENSIONAL;

RAY TRACING;

EID: 56649124961     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/RT.2008.4634630     Document Type: Conference Paper

References (35)

1. O. Arikan, D. A. Forsyth, and J. F. O'Brien. Fast and Detailed Approximate Global Illumination by Irradiance Decomposition. In SIGGRAPH, pages 1108-1114, 2005.
2. P. Bekaert. Hierarchical and Stochastic Algorithms for Radiosity. PhD thesis, Leuven, Belgium, 1999.
3. J. Bigler, A. Stephens, and S. G. Parker. Design for Parallel Interactive Ray Tracing Systems. In IRT, pages 187-196, 2006.
4. P. Blasi, B. L. Saëc, and C. Schlick. A Rendering Algorithm for Discrete Volume Density Objects. CGF, 12(3):201-210, 1993.
5. P. Blasi, B. L. Saëc, and C. Schlick. An Importance Driven Monte-Carlo Solution to the Global Illumination Problem. In EGWR, pages 177-187, 1994.
6. K. Chiu, K. Zimmerman, and P. Shirley. The Light Volume: an Aid to Rendering Complex Environments. In EGWR, pages 1-10, 1996.
7. P. H. Christensen and D. Batali. An Irradiance Atlas for Global Illumination in Complex Production Scenes. In EGSR, 2004. p133-141.
8. P. H. Christensen, E. J. Stollnitz, D. H. Salesin, and T. D. DeRose. Global Illumination of Glossy Environments Using Wavelets and Importance. Transactions on Graphics, 15(1):37-71, 1996.
9. P. Dutré and Y. D. Willems. Importance-driven Monte Carlo Light Tracing. In EGWR, pages 185-194, 1994.
10. P. Dutré and Y. D. Willems. Potential-driven Monte Carlo Particle Tracing for Diffuse Environments with Adaptive Probability Functions. In Eurographics Workshop on Rendering, pages 306-315, 1995.
11. S. Fan. Sequential Monte Carlo Methods for Physically-Based Rendering. PhD thesis, University of Wisconsin-Madison, USA, 2006.
12. S. Fan, S. Chenney, B. Hu, K.-W. Tsui, and Y.-C. Lai. Optimizing Control Variate Estimators for Rendering. CGF, 25(3):351-358, 2006.
13. P. Gautron, K. Bouatouch, and S. Pattanaik. Temporal Radiance Caching. In SIGGRAPH Sketches, page 171, 2006.
14. A. Ghosh, A. Doucet, and W. Heidrich. Sequential Sampling for Dynamic Environment Map Illumination. In EGSR, 2006. p115-126.
15. G. Greger, P. Shirley, P. M. Hubbard, and D. P. Greenberg. The Irradiance Volume. Computer Graphics and App., 18(2):32-43, 1998.
16. C. P. Gribble and S. G. Parker. Enhancing Interactive Particle Visualization with Advanced Shading Models. In APGV, 2006. p111-118.
17. J. H. Halton. Sequential Monte Carlo. Cambridge Philosophical Society, 58:57-78, 1962.
18. J. M. Hammersley and D. C. Handscomb. Monte Carlo Methods. Chapman and Hall, 1964.
19. H. Hey and W. Purgathofer. Importance Sampling with Hemispherical Particle Footprints. In SCCG, pages 107-114, 2002.
20. H. W. Jensen. Importance Driven Path Tracing Using the Photon Map. In EGWR, pages 326-335, 1995.
21. J. T. Kajiya. The Rendering Equation. SIGGRAPH, 1986. p143-150.
22. M. H. Kalos and P. A. Whitlock. Monte Carlo Methods, Volume I: Basics. Wiley, 1986.
23. J. Křivánek, K. Bouatouch, S. N. Pattanaik, and J. Zára. Making Radiance and Irradiance Caching Practical: Adaptive Caching and Neighbor Clamping. In EGSR, pages 127-138, 2006.
24. J. Křivánek and P. Gautron. Radiance Caching for Efficient Global Illumination Computation. TVCG, 11(5):550-561, 2005.
25. E. P. Lafortune and Y. D. Willems. A 5D Tree to Reduce the Variance of Monte Carlo Ray Tracing. In EGWR, pages 11-20, 1995.
26. G. P. Lepage. A New Algorithm for Adaptive Multidimensional Integration. Journal of Computational Physics, 27:192-203, 1978.
27. A. Owen and Y. Zhou. Safe and Effective Importance Sampling. Journal of the American Statistical Association, 95(449):135-143, 2000.
28. G. Pietrek and I. Peter. Adaptive Wavelet Densities for Monte Carlo Ray Tracing. In WSCG, pages 217-224, 1999.
29. M. Smyk, S. I. Kinuwaki, R. Durikovic, and K. Myszkowski. Temporally Coherent Irradiance Caching for High Quality Animation Rendering. In Eurographics, pages 401-412, 2005.
30. M. Smyk and K. Myszkowski. Quality Improvement for Indirect Illumination Interpolation. In ICCVG, pages 685-692, 2002.
31. L. Szécsi, M. Sbert, and L. Szirmay-Kalos. Combined Correlated and Importance Sampling in Direct Light Source Computation and Environment Mapping. CGF, 23(3):585-593, 2004.
32. E. Tabellion and A. Lamorlette. An Approximate Global Illumination System for Computer Generated Films. TOG, 23(3):469-476, 2004.
33. E. Veach. Robust Monte Carlo Methods for Light Transport Simulation. PhD thesis, Stanford University, USA, 1997.
34. G. J. Ward and P. Heckbert. Irradiance Gradients. In EGWR, pages 85-98, 1992.
35. G. J. Ward, F. M. Rubinstein, and R. D. Clear. A Ray Tracing Solution for Diffuse Interreflection. In SIGGRAPH, pages 85-92, 1988.