| dc.contributor.author | Purgathofer, Werner | en_US |
| dc.contributor.editor | A.A.G. Requicha | en_US |
| dc.date.accessioned | 2015-09-29T08:29:48Z | |
| dc.date.available | 2015-09-29T08:29:48Z | |
| dc.date.issued | 1986 | en_US |
| dc.identifier.issn | 1017-4656 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/eg.19861012 | en_US |
| dc.description.abstract | Stochastic 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.publisher | The Eurographics Association | en_US |
| dc.title | A Statistical Method For Adaptive Stochastic Sampling | en_US |
| dc.description.seriesinformation | Eurographics Conference Proceedings | en_US |
| dc.identifier.doi | 10.2312/eg.19861012 | en_US |
