The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A ray tracing solution for diffuse interreflection
Abstract
An efficient ray tracing method is presented for calculating interreflections between surfaces with both diffuse and specular components. A Monte Carlo technique computes the indirect contributions to illuminance at locations chosen by the rendering process. The indirect illuminance values are averaged over surfaces and used in place of a constant "ambient." term. Illuminance calculations are made only for those areas participating in the selected view, and the results are stored so that subsequent views can reuse common values. The density of the calculation is adjusted to maintain a constant accuracy, permitting less populated portions of the scene to be computed quickly. Successive reflections use proportionally fewer samples, which speeds the process and provides a natural limit to recursion. The technique can also model diffuse transmission and illumination from large area sources, such as the sky.
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Citations
Cites
Simulation and the Monte Carlo Method
Rubinstein, R. Y., & Kroese, D. P. (2016) · Wiley Series in Probability and Statistics · doi:10.1002/9781118631980 · Cited by 3,356
Cited by
The State of the Art in Interactive Global Illumination
Ritschel, T., Dachsbacher, C., Grosch, T., & Kautz, J. (2012) · Computer Graphics Forum · doi:10.1111/j.1467-8659.2012.02093.x · Cited by 132
Metadata
- Authors
- Ward, G. J., Rubinstein, F. M., & Clear, R. D.
- Venue
- ACM SIGGRAPH 2007 courses
- Publisher
- ACM
- Published
- 2007-08-05
- Pages
- 11
- OpenAlex
- W2115373434
- Cited by
- 373
- References
- 1
- FWCI
- 22.40
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Ward, G. J., Rubinstein, F. M., & Clear, R. D. (2007). A ray tracing solution for diffuse interreflection. ACM SIGGRAPH 2007 courses. https://doi.org/10.1145/1281500.1281626
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
