A Statistical Method For Adaptive Stochastic Sampling

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dc.contributor.authorPurgathofer, Werneren_US
dc.contributor.editorA.A.G. Requichaen_US
dc.date.accessioned2015-09-29T08:29:48Z
dc.date.available2015-09-29T08:29:48Z
dc.date.issued1986en_US
dc.description.abstractStochastic sampling is a good alternative to pure oversampling in terms of image quality. A method for adaptively controlling the number of required samples to the complexity of the picture is presented. The quality of the obtained picture can be controlled by two well-understandable parameters, these parameters define an error interval sire and the probability that a pixel lies within it. The usefulness of the method is described by applying it to distributed ray-tracing.en_US
dc.description.seriesinformationEurographics Conference Proceedingsen_US
dc.identifier.doi10.2312/eg.19861012en_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/eg.19861012en_US
dc.publisherThe Eurographics Associationen_US
dc.titleA Statistical Method For Adaptive Stochastic Samplingen_US
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