Multiple Scattering in Inhomogeneous Participating Media Using Rao-Blackwellization and Control Variates

dc.contributor.authorSzirmay-Kalos, Lászlóen_US
dc.contributor.authorMagdics, Milánen_US
dc.contributor.authorSbert, Mateuen_US
dc.contributor.editorGutierrez, Diego and Sheffer, Allaen_US
dc.date.accessioned2018-04-14T18:23:03Z
dc.date.available2018-04-14T18:23:03Z
dc.date.issued2018
dc.description.abstractRendering inhomogeneous participating media requires a lot of volume samples since the extinction coefficient needs to be integrated along light paths. Ray marching makes small steps, which is time consuming and leads to biased algorithms. Woodcocklike approaches use analytic sampling and a random rejection scheme guaranteeing that the expectations will be the same as in the original model. These models and the application of control variates for the extinction have been successful to compute transmittance and single scattering but were not fully exploited in multiple scattering simulation. Our paper attacks the multiple scattering problem in heterogeneous media and modifies the light-medium interaction model to allow the use of simple analytic formulae while preserving the correct expected values. The model transformation reduces the variance of the estimates with the help of Rao-Blackwellization and control variates applied both for the extinction coefficient and the incident radiance. Based on the transformed model, efficient Monte Carlo rendering algorithms are obtained.en_US
dc.description.number2
dc.description.sectionheadersIt's all About Light
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume37
dc.identifier.doi10.1111/cgf.13342
dc.identifier.issn1467-8659
dc.identifier.pages63-74
dc.identifier.urihttps://doi.org/10.1111/cgf.13342
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13342
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.titleMultiple Scattering in Inhomogeneous Participating Media Using Rao-Blackwellization and Control Variatesen_US
Files
Collections