Efficient Multidimensional Sampling

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dc.contributor.authorKollig, Thomasen_US
dc.contributor.authorKeller, Alexanderen_US
dc.date.accessioned2015-02-16T11:47:46Z
dc.date.available2015-02-16T11:47:46Z
dc.date.issued2002en_US
dc.description.abstractImage synthesis often requires the Monte Carlo estimation of integrals. Based on a generalized concept of stratification we present an efficient sampling scheme that consistently outperforms previous techniques. This is achieved by assembling sampling patterns that are stratified in the sense of jittered sampling and N-rooks sampling at the same time. The faster convergence and improved anti-aliasing are demonstrated by numerical experiments.Categories and Subject Descriptors (according to ACM CCS): G.3 [Probability and Statistics]: Probabilistic Algorithms (including Monte Carlo); I.3.2 [Computer Graphics]: Picture/Image Generation; I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume21en_US
dc.identifier.doi10.1111/1467-8659.00706en_US
dc.identifier.issn1467-8659en_US
dc.identifier.pages557-563en_US
dc.identifier.urihttps://doi.org/10.1111/1467-8659.00706en_US
dc.publisherBlackwell Publishers, Inc and the Eurographics Associationen_US
dc.titleEfficient Multidimensional Samplingen_US
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