dc.contributor.author | Cecchin, Alice | en_US |
dc.contributor.author | Du, Paul | en_US |
dc.contributor.author | Pastor, Mickaël | en_US |
dc.contributor.author | Agouzoul, Asma | en_US |
dc.contributor.editor | Sauvage, Basile | en_US |
dc.contributor.editor | Hasic-Telalovic, Jasminka | en_US |
dc.date.accessioned | 2022-04-22T07:54:34Z | |
dc.date.available | 2022-04-22T07:54:34Z | |
dc.date.issued | 2022 | |
dc.identifier.isbn | 978-3-03868-171-7 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.uri | https://doi.org/10.2312/egp.20221015 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egp20221015 | |
dc.description.abstract | We introduce a framework extending an existing progressive compression-decompression algorithm for 3D triangular meshes. First, a mesh is partitioned. Each resulting part is compressed, then joined with one of its neighbours. These steps are repeated following a binary tree of operations, until a single compressed mesh remains. Decompressing the mesh involves progressively performing those steps in reverse, per node, and locally, by selecting the branch of the tree to explore. This method creates a compact and lossless representation of the model that allows its progressive and local reconstruction. Previously unprocessable meshes can be visualized on the web and mobile devices using this technique. | en_US |
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: Information systems --> Data compression; Computing methodologies --> Mesh geometry models | |
dc.subject | Information systems | |
dc.subject | Data compression | |
dc.subject | Computing methodologies | |
dc.subject | Mesh geometry models | |
dc.title | View Dependent Decompression for Web-based Massive Triangle Meshes Visualisation | en_US |
dc.description.seriesinformation | Eurographics 2022 - Posters | |
dc.description.sectionheaders | Posters | |
dc.identifier.doi | 10.2312/egp.20221015 | |
dc.identifier.pages | 33-34 | |
dc.identifier.pages | 2 pages | |