Weighted Importance Sampling Techniques for Monte Carlo Radiosity-Reference-Cited by-同舟云学术

Weighted Importance Sampling Techniques for Monte Carlo Radiosity

Published:2000 Issue: Volume: Page:35-46
ISSN:0946-2767
Container-title:Eurographics
language:
Short-container-title:

Author:

Bekaert Philippe,Sbert Mateu,Willems Yves D.

Publisher

Springer Vienna

Link

http://link.springer.com/content/pdf/10.1007/978-3-7091-6303-0_4

Reference17 articles.

1. J. Arvo. Stratified sampling of spherical triangles. In Computer Graphics Proceedings, Annual Conference Series, 1995 (ACM SIGGRAPH ’95 Proceedings), pages 437–438, August 1995.

2. D. R. Baum, H. E. Rushmeier, and J. M. Winget. Improving radiosity solutions through the use of analytically determined form-factors. In Computer Graphics (SIGGRAPH ’89 Proceedings), volume 23, pages 325–334, July 1989.

3. Ph. Bekaert. Hierarchical and Stochastic Algorithms for Radiosity. PhD thesis, Katholieke Universiteit Leuven, December 1999.

4. Ph. Bekaert, L. Neumann, A. Neumann, M. Sbert, and Y. D. Willems. Hierarchical Monte Carlo radiosity. In Rendering Techniques ’98 (Proceedings of the 9th. Eurographics Workshop on Rendering), pages 259–268. June 1998.

5. F. Castro, R. Matinez, and M. Sbert. Quasi-Monte Carlo and extended first-shot improvement to the multi-path method. In Proc. Spring Conference on Computer Graphics ’98, pages 91–102, Bratislava, Slovakia, April 1998. Comenius University.

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