| dc.contributor.author | Ahmed, Abdalla G. M. | en_US |
| dc.contributor.editor | Vidal, Franck P. and Tam, Gary K. L. and Roberts, Jonathan C. | en_US |
| dc.date.accessioned | 2019-09-11T05:09:11Z | |
| dc.date.available | 2019-09-11T05:09:11Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 978-3-03868-096-3 | |
| dc.identifier.uri | https://doi.org/10.2312/cgvc.20191271 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/cgvc20191271 | |
| dc.description.abstract | We outline an adaptive sampling framework based on Conway's pinwheel tiles. It offers a unique feature that the generated tiles have infinite number of orientation angles, minimizing the strong auto-correlations found on all other lookup-sampling frameworks. We describe a novel string-based approach to enumerate distinct neighbor configurations in pinwheel tiles. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | Sampling with Pinwheel Tiles | en_US |
| dc.description.seriesinformation | Computer Graphics and Visual Computing (CGVC) | |
| dc.description.sectionheaders | Short Papers | |
| dc.identifier.doi | 10.2312/cgvc.20191271 | |
| dc.identifier.pages | 147-148 | |
