Caustic Forecasting: Unbiased Estimation of Caustic Lighting for Global Illumination

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dc.contributor.authorBudge, B. C.en_US
dc.contributor.authorAnderson, J. C.en_US
dc.contributor.authorJoy, K. I.en_US
dc.date.accessioned2015-02-21T18:00:46Z
dc.date.available2015-02-21T18:00:46Z
dc.date.issued2008en_US
dc.description.abstractWe present an unbiased method for generating caustic lighting using importance sampled Path Tracing with Caustic Forecasting. Our technique is part of a straightforward rendering scheme which extends the Illumination by Weak Singularities method to allow for fully unbiased global illumination with rapid convergence. A photon shooting preprocess, similar to that used in Photon Mapping, generates photons that interact with specular geometry. These photons are then clustered, effectively dividing the scene into regions which will contribute similar amounts of caustic lighting to the image. Finally, the photons are stored into spatial data structures associated with each cluster, and the clusters themselves are organized into a spatial data structure for fast searching. During rendering we use clusters to decide the caustic energy importance of a region, and use the local photons to aid in importance sampling, effectively reducing the number of samples required to capture caustic lighting.en_US
dc.description.number7en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume27en_US
dc.identifier.doi10.1111/j.1467-8659.2008.01345.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages1963-1970en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2008.01345.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltden_US
dc.titleCaustic Forecasting: Unbiased Estimation of Caustic Lighting for Global Illuminationen_US
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