Graph-based Computation of Voronoi Diagrams on Large-scale Point-based Surfaces
dc.contributor.author | Bletterer, Arnaud | en_US |
dc.contributor.author | Payan, Frédéric | en_US |
dc.contributor.author | Antonini, Marc | en_US |
dc.contributor.editor | Pelechano, Nuria | en_US |
dc.contributor.editor | Vanderhaeghe, David | en_US |
dc.date.accessioned | 2022-04-22T08:16:13Z | |
dc.date.available | 2022-04-22T08:16:13Z | |
dc.date.issued | 2022 | |
dc.description.abstract | We present an original algorithm to construct Voronoi tessellations on surfaces from a set of depth maps. Based on a local graphbased structure, where each local graph spans one depth map, our algorithm is able to compute partial Voronoi diagrams (one per scan), and then to merge/update them into a single and globally consistent Voronoi diagram. Our first results show that this algorithm is particularly promising for improving the sampling quality of massive point clouds or for reconstructing very large-scale scenes, with low and manageable memory consumption. | en_US |
dc.description.sectionheaders | Geometry and Shape | |
dc.description.seriesinformation | Eurographics 2022 - Short Papers | |
dc.identifier.doi | 10.2312/egs.20221030 | |
dc.identifier.isbn | 978-3-03868-169-4 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.pages | 49-52 | |
dc.identifier.pages | 4 pages | |
dc.identifier.uri | https://doi.org/10.2312/egs.20221030 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egs20221030 | |
dc.publisher | The Eurographics Association | en_US |
dc.rights | Attribution 4.0 International License | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject | CCS Concepts: Computing methodologies --> Point-based models; Parametric curve and surface models | |
dc.subject | Computing methodologies | |
dc.subject | Point | |
dc.subject | based models | |
dc.subject | Parametric curve and surface models | |
dc.title | Graph-based Computation of Voronoi Diagrams on Large-scale Point-based Surfaces | en_US |
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