Filtered Jitter
| dc.contributor.author | Klassen, R. Victor | en_US |
| dc.date.accessioned | 2015-02-16T07:07:05Z | |
| dc.date.available | 2015-02-16T07:07:05Z | |
| dc.date.issued | 2000 | en_US |
| dc.description.abstract | Jitter is one popular way of generating samples for stochastic sampling in computer graphics. The Poisson disk distribution better approximates that of the human photomosaic. In this paper we examine the spatial and frequency space behaviour of a number of existing algorithms for generating stochastic samples and propose a new algorithm based on low pass filtering a jittered set of displacements. The distribution is at least as much like that of the human photomosaic as any existing algorithm, while being fast to compute. | en_US |
| dc.description.number | 4 | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 19 | en_US |
| dc.identifier.doi | 10.1111/1467-8659.00459 | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.pages | 223-230 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/1467-8659.00459 | en_US |
| dc.publisher | Blackwell Publishers Ltd and the Eurographics Association | en_US |
| dc.title | Filtered Jitter | en_US |