ABSTRACT
Most of existing importance sampling methods for direct illumination exploit importance of illumination and surface BRDF. Without taking the visibility into consideration, they can not adaptively adjust the number of samples for each pixel during the sampling process. As a result, these methods tend to produce images with noise in partially occluded regions. In this paper, we introduce an incremental wavelet importance sampling approach, in which the visibility information is used to determine the number of samples at run time. For this purpose, we present a perceptual-based variance that is computed from visibility of samples. In the sampling process, the Halton sample points are incrementally warped for each pixel until the variance of warped samples converges. We demonstrate that our method is more efficient than existing importance sampling approaches.
- Agarwal, S., Ramamoorthi, R., Belongie, S., and Jensen, H. W. 2003. Structured importance sampling of environment maps. In SIGGRAPH '03: ACM SIGGRAPH 2003 Papers, 605--612. Google ScholarDigital Library
- Blackwell, H. R. 1972. Luminance difference thresholds, vol. In Handbook of Sensory Physiology, vol. VII/4:Visual Psychophysics. Springer-Verlag.Google Scholar
- Burke, D., Ghosh, A., and Heidrich, W. 2005. Bidirectional importance sampling for direct illumination. In Rendering Techniques, 147--156. Google ScholarDigital Library
- Clarberg, P., Jarosz, W., Akenine-Möller, T., and Jensen, H. W. 2005. Wavelet importance sampling: efficiently evaluating products of complex functions. ACM Trans. Graph. 24, 3, 1166--1175. Google ScholarDigital Library
- Cline, D., Egbert, P. K., Talbot, J. F., and Cardon, D. L. 2006. Two stage importance sampling for direct lighting. In Rendering Techniques, 103--113. Google ScholarDigital Library
- Cohen, J., and Debevec, P., 2001. Light-gen. http://www.ict.usc.edu/jcohen/lightgen/lightgen.html.Google Scholar
- Ghosh, A., and Heidrich, W. 2006. Correlated visibility sampling for direct illumination. Vis. Comput. 22, 9, 693--701. Google ScholarDigital Library
- Lawrence, J., Rusinkiewicz, S., and Ramamoorthi, R. 2004. Efficient brdf importance sampling using a factored representation. In SIGGRAPH '04: ACM SIGGRAPH 2004 Papers, 496--505. Google ScholarDigital Library
- Ng, R., Ramamoorthi, R., and Hanrahan, P. 2004. Triple product wavelet integrals for all-frequency relighting. In SIGGRAPH '04: ACM SIGGRAPH 2004 Papers, 477--487. Google ScholarDigital Library
- Ostromoukhov, V., Donohue, C., and Jodoin, P.-M. 2004. Fast hierarchical importance sampling with blue noise properties. In SIGGRAPH '04: ACM SIGGRAPH 2004 Papers, 488--495. Google ScholarDigital Library
- Walter, B., Fernandez, S., Arbree, A., Bala, K., Donikian, M., and Greenberg, D. P. 2005. Lightcuts: a scalable approach to illumination. ACM Trans. Graph. 24, 3, 1098--1107. Google ScholarDigital Library
- Wong, T.-T., Luk, W.-S., and Heng, P.-A. 1997. Sampling with hammersley and halton points. J. Graph. Tools 2, 2, 9--24. Google ScholarDigital Library
Index Terms
- Incremental wavelet importance sampling for direct illumination
Recommendations
Wavelet importance sampling: efficiently evaluating products of complex functions
SIGGRAPH '05: ACM SIGGRAPH 2005 PapersWe present a new technique for importance sampling products of complex functions using wavelets. First, we generalize previous work on wavelet products to higher dimensional spaces and show how this product can be sampled on-the-fly without the need of ...
Wavelet importance sampling: efficiently evaluating products of complex functions
We present a new technique for importance sampling products of complex functions using wavelets. First, we generalize previous work on wavelet products to higher dimensional spaces and show how this product can be sampled on-the-fly without the need of ...
Efficient BRDF importance sampling using a factored representation
High-quality Monte Carlo image synthesis requires the ability to importance sample realistic BRDF models. However, analytic sampling algorithms exist only for the Phong model and its derivatives such as Lafortune and Blinn-Phong. This paper demonstrates ...
Comments