Efficient Multidimensional Sampling

dc.contributor.author	Kollig, Thomas	en_US
dc.contributor.author	Keller, Alexander	en_US
dc.date.accessioned	2015-02-16T11:47:46Z
dc.date.available	2015-02-16T11:47:46Z
dc.date.issued	2002	en_US
dc.identifier.issn	1467-8659	en_US
dc.identifier.uri	http://dx.doi.org/10.1111/1467-8659.00706	en_US
dc.description.abstract	Image 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.publisher	Blackwell Publishers, Inc and the Eurographics Association	en_US
dc.title	Efficient Multidimensional Sampling	en_US
dc.description.seriesinformation	Computer Graphics Forum	en_US
dc.description.volume	21	en_US
dc.description.number	3	en_US
dc.identifier.doi	10.1111/1467-8659.00706	en_US
dc.identifier.pages	557-563	en_US