Progressive Spectral Ray Differentials

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dc.contributor.authorElek, Oskaren_US
dc.contributor.authorBauszat, Pabloen_US
dc.contributor.authorRitschel, Tobiasen_US
dc.contributor.authorMagnor, Marcusen_US
dc.contributor.authorSeidel, Hans-Peteren_US
dc.contributor.editorJan Bender and Arjan Kuijper and Tatiana von Landesberger and Holger Theisel and Philipp Urbanen_US
dc.date.accessioned2014-12-16T07:26:42Z
dc.date.available2014-12-16T07:26:42Z
dc.date.issued2014en_US
dc.description.abstractLight travelling though refractive objects can lead to beautiful colourful illumination patterns resulting from dispersion on the object interfaces. While this can be accurately simulated by stochastic Monte-Carlo methods, their application is costly and leads to significant chromatic noise. This is greatly improved by applying spectral ray differentials, however, at the cost of introducing bias into the solution. We propose progressive spectral ray differentials, adapting concepts from other progressive Monte-Carlo methods. Our approach takes full advantage of the variance-reduction properties of spectral ray differentials but progressively converges to the correct, unbiased solution in the limit.en_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US
dc.identifier.isbn978-3-905674-74-3en_US
dc.identifier.urihttps://doi.org/10.2312/vmv.20141288en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectKeywordsen_US
dc.subjectdispersion renderingen_US
dc.subjectspectral ray differentialsen_US
dc.subjectprogressive Monteen_US
dc.subjectCarlo methodsen_US
dc.titleProgressive Spectral Ray Differentialsen_US
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