Progressive Expectation-Maximization for Hierarchical Volumetric Photon Mapping

State‐of‐the‐art density estimation methods for rendering participating media rely on a dense photon representation of the radiance distribution within a scene. A critical bottleneck of such kernel‐based approaches is the excessive number of photons that are required in practice to resolve fine illu...

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Vydané v:Computer graphics forum Ročník 30; číslo 4; s. 1287 - 1297
Hlavní autori: Jakob, Wenzel, Regg, Christian, Jarosz, Wojciech
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford, UK Blackwell Publishing Ltd 01.06.2011
Predmet:
Algorithms
Atoms & subatomic particles
Caustics
Computer graphics
Density
Gaussian
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Ray Tracing
I.6.8 [Simulation and Modeling]: Simulation-Monte Carlo
Illumination
Mapping
Photons
Radiance
Rendering
Studies
ISSN:0167-7055, 1467-8659
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Shrnutí:State‐of‐the‐art density estimation methods for rendering participating media rely on a dense photon representation of the radiance distribution within a scene. A critical bottleneck of such kernel‐based approaches is the excessive number of photons that are required in practice to resolve fine illumination details, while controlling the amount of noise. In this paper, we propose a parametric density estimation technique that represents radiance using a hierarchical Gaussian mixture. We efficiently obtain the coefficients of this mixture using a progressive and accelerated form of the Expectation‐Maximization algorithm. After this step, we are able to create noise‐free renderings of high‐frequency illumination using only a few thousand Gaussian terms, where millions of photons are traditionally required. Temporal coherence is trivially supported within this framework, and the compact footprint is also useful in the context of real‐time visualization. We demonstrate a hierarchical ray tracing‐based implementation, as well as a fast splatting approach that can interactively render animated volume caustics.
Bibliografia:istex:76CE68640BD530CF587F5DD1221ABBB2F771B44E
ArticleID:CGF1988
ark:/67375/WNG-HHK6P52S-W
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2011.01988.x