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Conference Paper: Surface segmentation for improved remeshing

TitleSurface segmentation for improved remeshing
Authors
Issue Date2012
PublisherSpringer Berlin Heidelberg.
Citation
The 21st International Meshing Roundtable, San Jose, CA., 7-10 October 2012. In Proceedings of the 21st International Meshing Roundtable, 2012, p. 403-418 How to Cite?
AbstractMany remeshing techniques sample the input surface in a meaningful way and then triangulate the samples to produce an output triangulated mesh. One class of methods samples in a parametrization of the surface. Another class samples directly on the surface. These latter methods must have sufficient density of samples to achieve outputs that are homeomorphic to the input. In many datasets samples must be very dense even in some nearly planar regions due to small local feature size. We present an isotropic remeshing algorithm called κCVT that achieves topological correctness while sampling sparsely in all flat regions, regardless of local feature size. This is accomplished by segmenting the surface, remeshing the segmented subsurfaces individually and then stitching them back together. We show that κCVT produces quality meshes using fewer triangles than other methods. The output quality meshes are both homeomorphic and geometrically close to the input surface.
Persistent Identifierhttp://hdl.handle.net/10722/164925
ISBN

 

DC FieldValueLanguage
dc.contributor.authorEdwards, Jen_US
dc.contributor.authorWang, WPen_US
dc.contributor.authorBajaj, Cen_US
dc.date.accessioned2012-09-20T08:12:25Z-
dc.date.available2012-09-20T08:12:25Z-
dc.date.issued2012en_US
dc.identifier.citationThe 21st International Meshing Roundtable, San Jose, CA., 7-10 October 2012. In Proceedings of the 21st International Meshing Roundtable, 2012, p. 403-418en_US
dc.identifier.isbn978-3-642-33572-3-
dc.identifier.urihttp://hdl.handle.net/10722/164925-
dc.description.abstractMany remeshing techniques sample the input surface in a meaningful way and then triangulate the samples to produce an output triangulated mesh. One class of methods samples in a parametrization of the surface. Another class samples directly on the surface. These latter methods must have sufficient density of samples to achieve outputs that are homeomorphic to the input. In many datasets samples must be very dense even in some nearly planar regions due to small local feature size. We present an isotropic remeshing algorithm called κCVT that achieves topological correctness while sampling sparsely in all flat regions, regardless of local feature size. This is accomplished by segmenting the surface, remeshing the segmented subsurfaces individually and then stitching them back together. We show that κCVT produces quality meshes using fewer triangles than other methods. The output quality meshes are both homeomorphic and geometrically close to the input surface.-
dc.languageengen_US
dc.publisherSpringer Berlin Heidelberg.-
dc.relation.ispartofProceedings of the 21st International Meshing Roundtableen_US
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleSurface segmentation for improved remeshingen_US
dc.typeConference_Paperen_US
dc.identifier.emailEdwards, J: john.edwards@utexas.eduen_US
dc.identifier.emailWang, WP: wenping@cs.hku.hk-
dc.identifier.emailBajaj, C: bajaj@cs.utexas.edu-
dc.identifier.authorityWang, WP=rp00186en_US
dc.description.naturepostprint-
dc.identifier.doi10.1007/978-3-642-33573-0_24-
dc.identifier.hkuros209007en_US
dc.identifier.spage403-
dc.identifier.epage418-
dc.publisher.placeGermany-

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