Combined Correlated and Importance Sampling in Direct Light Source Computation and Environment Mapping

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dc.contributor.authorSzecsi, Laszloen_US
dc.contributor.authorSbert, Mateuen_US
dc.contributor.authorSzirmay-Kalos, Laszloen_US
dc.date.accessioned2015-02-19T09:54:44Z
dc.date.available2015-02-19T09:54:44Z
dc.date.issued2004en_US
dc.description.abstractThis paper presents a general variance reduction method that is a quasi-optimal combination of correlated and importance sampling. The weights of the combination are selected automatically in order to keep the merits of both importance and correlated sampling. The proposed sampling method is used for efficient direct light source computation of large area sources and for the calculation of the reflected illumination of environment maps. Importance sampling would be good in these cases if the sources are hidden, while correlated sampling is efficient if the sources are fully visible. The proposed method automatically detects the particular case and provides results that inherit the advantages of both techniques.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume23en_US
dc.identifier.doi10.1111/j.1467-8659.2004.00790.xen_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages585-593en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2004.00790.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing, Incen_US
dc.titleCombined Correlated and Importance Sampling in Direct Light Source Computation and Environment Mappingen_US
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