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dc.contributor.authorBeguet, Florianen_US
dc.contributor.authorGuise, Jacques Deen_US
dc.contributor.authorSchmittbuhl, Matthieuen_US
dc.contributor.authorMari, Jean-Lucen_US
dc.contributor.authorCresson, Thierry
dc.contributor.editorFusiello, Andrea and Bimber, Oliveren_US
dc.date.accessioned2019-05-05T17:48:13Z
dc.date.available2019-05-05T17:48:13Z
dc.date.issued2019
dc.identifier.issn1017-4656
dc.identifier.urihttps://doi.org/10.2312/egp.20191054
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egp20191054
dc.description.abstractThis 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.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectShape descriptors
dc.subjectDiscrete curvatures
dc.subject3D mesh
dc.subjectGraphs
dc.title3D Mesh Description Using ''Subdivided Shape-Curvature-Graphs''en_US
dc.description.seriesinformationEurographics 2019 - Posters
dc.description.sectionheadersPosters
dc.identifier.doi10.2312/egp.20191054
dc.identifier.pages31-32


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