Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2006: administrator
Metadata Last Update2020: administrator
Citation KeyPaivaLopeLewiFigu:2006:RoAdMe
TitleRobust adaptive meshes for implicit surfaces
Access Date2021, Jan. 25
Number of Files1
Size1294 KiB
Context area
Author1 Paiva, Afonso
2 Lopes, Hélio
3 Lewiner, Thomas
4 de Figueiredo, Luiz Henrique
Affiliation1 Departamento de Matematica. PUC - Rio de Janeiro
2 Departamento de Matematica. PUC - Rio de Janeiro
3 Departamento de Matematica. PUC - Rio de Janeiro
4 Visgraf. IMPA
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus
Date8-11 Oct. 2006
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2006-07-13 23:00:33 :: tomlew -> banon ::
2006-08-30 21:56:39 :: banon -> tomlew ::
2008-07-17 14:11:02 :: tomlew -> administrator ::
2009-08-13 20:38:04 :: administrator -> banon ::
2010-08-28 20:02:23 :: banon -> administrator ::
2020-02-19 03:17:37 :: administrator -> :: 2006
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
KeywordsImplicit Surface, Dual Marching Cubes, Robust Algorithms, Geometric Modelling.
AbstractThis work introduces a robust algorithm for computing good polygonal approximations of implicit surfaces, where robustness entails recovering the exact topology of the implicit surface. Furthermore, the approximate triangle mesh adapts to the geometry and to the topology of the real implicit surface. This method generates an octree subdivided according to the interval evaluation of the implicit function in order to guarantee the robustness, and to the interval automatic differentiation in order to adapt the octree to the geometry of the implicit surface. The triangle mesh is then generated from that octree through an enhanced dual marching.
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Target Filehlopes-adaptimpl.pdf
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