dc.contributor.author | Ahmed, Abdalla G. M. | en_US |
dc.contributor.author | Deussen, Oliver | en_US |
dc.contributor.editor | Tao Ruan Wan and Franck Vidal | en_US |
dc.date.accessioned | 2017-09-21T07:22:58Z | |
dc.date.available | 2017-09-21T07:22:58Z | |
dc.date.issued | 2017 | |
dc.identifier.isbn | 978-3-03868-050-5 | |
dc.identifier.uri | http://dx.doi.org/10.2312/cgvc.20171285 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/cgvc20171285 | |
dc.description.abstract | Capacity Constrained Voronoi Tessellation is an important concept that greatly influenced recent research on point sampling. The original concept was based on discretizing the sampled domain, and the algorithm was prohibitively slow, even with some proposed accelerations. We present a few improvements that make a real difference in the speed of the algorithm, bringing it back into presence. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.title | Capacity Constrained Voronoi Tessellation Revisited | en_US |
dc.description.seriesinformation | Computer Graphics and Visual Computing (CGVC) | |
dc.description.sectionheaders | Computer Graphics Applications | |
dc.identifier.doi | 10.2312/cgvc.20171285 | |
dc.identifier.pages | 97-99 | |