dc.contributor.author | Beguet, Florian | en_US |
dc.contributor.author | Guise, Jacques De | en_US |
dc.contributor.author | Schmittbuhl, Matthieu | en_US |
dc.contributor.author | Mari, Jean-Luc | en_US |
dc.contributor.author | Cresson, Thierry | |
dc.contributor.editor | Fusiello, Andrea and Bimber, Oliver | en_US |
dc.date.accessioned | 2019-05-05T17:48:13Z | |
dc.date.available | 2019-05-05T17:48:13Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1017-4656 | |
dc.identifier.uri | https://doi.org/10.2312/egp.20191054 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egp20191054 | |
dc.description.abstract | This paper presents a shape descriptor for 3D meshes using a graph to represent a polyhedral mesh which is then used to extract patterns from the shape. The use of Subdivided Shape-Curvature-Graphs makes it possible to not only recognize the similarities of mesh details but also determine the self-similarity of local portions of the object by adding topological information to the graph. The proposed method divides the mesh into 8 categories of patches using the discrete curvatures. These patches are cleaned; afterwards, to add topological information, a new "segmentation" patch is added. Finally, an approach is developed to extract and compare the subgraphs and thus be able to obtain the self-similarity of local parts of the mesh. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Computing methodologies | |
dc.subject | Shape descriptors | |
dc.subject | Discrete curvatures | |
dc.subject | 3D mesh | |
dc.subject | Graphs | |
dc.title | 3D Mesh Description Using ''Subdivided Shape-Curvature-Graphs'' | en_US |
dc.description.seriesinformation | Eurographics 2019 - Posters | |
dc.description.sectionheaders | Posters | |
dc.identifier.doi | 10.2312/egp.20191054 | |
dc.identifier.pages | 31-32 | |