Feature-Preserving Offset Mesh Generation from Topology-Adapted Octrees

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dc.contributor.authorZint, Danielen_US
dc.contributor.authorMaruani, Nissimen_US
dc.contributor.authorRouxel-Labbé, Maelen_US
dc.contributor.authorAlliez, Pierreen_US
dc.contributor.editorMemari, Pooranen_US
dc.contributor.editorSolomon, Justinen_US
dc.date.accessioned2023-06-30T06:18:58Z
dc.date.available2023-06-30T06:18:58Z
dc.date.issued2023
dc.description.abstractWe introduce a reliable method to generate offset meshes from input triangle meshes or triangle soups. Our method proceeds in two steps. The first step performs a Dual Contouring method on the offset surface, operating on an adaptive octree that is refined in areas where the offset topology is complex. Our approach substantially reduces memory consumption and runtime compared to isosurfacing methods operating on uniform grids. The second step improves the output Dual Contouring mesh with an offset-aware remeshing algorithm to reduce the normal deviation between the mesh facets and the exact offset. This remeshing process reconstructs concave sharp features and approximates smooth shapes in convex areas up to a user-defined precision. We show the effectiveness and versatility of our method by applying it to a wide range of input meshes. We also benchmark our method on the Thingi10k dataset: watertight and topologically 2-manifold offset meshes are obtained for 100% of the cases.en_US
dc.description.number5
dc.description.sectionheadersSurface Reconstruction
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume42
dc.identifier.doi10.1111/cgf.14906
dc.identifier.issn1467-8659
dc.identifier.pages12 pages
dc.identifier.urihttps://doi.org/10.1111/cgf.14906
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14906
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectCCS Concepts: Computing methodologies -> Shape modeling
dc.subjectComputing methodologies
dc.subjectShape modeling
dc.titleFeature-Preserving Offset Mesh Generation from Topology-Adapted Octreesen_US
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