Consistent Volumetric Discretizations Inside Self-Intersecting Surfaces

Decades of research have culminated in a robust geometry processing pipeline for surfaces. Most steps in this pipeline, like deformation, smoothing, subdivision and decimation, may create self‐intersections. Volumetric processing of solid shapes then becomes difficult, because obtaining a correct vo...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Computer graphics forum Ročník 32; číslo 5; s. 147 - 156
Hlavní autori:	Sacht, Leonardo, Jacobson, Alec, Panozzo, Daniele, Schüller, Christian, Sorkine-Hornung, Olga
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford, UK Blackwell Publishing Ltd 01.08.2013
Predmet:	Algorithms Computation Computer graphics Computer science Computer simulation Discretization Finite element method Pipelines Smoothing Studies Subdivisions United States > US
ISSN:	0167-7055, 1467-8659
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Popis
Shrnutí:	Decades of research have culminated in a robust geometry processing pipeline for surfaces. Most steps in this pipeline, like deformation, smoothing, subdivision and decimation, may create self‐intersections. Volumetric processing of solid shapes then becomes difficult, because obtaining a correct volumetric discretization is impossible: existing tet‐meshing methods require watertight input. We propose an algorithm that produces a tetrahedral mesh that overlaps itself consistently with the self‐intersections in the input surface. This enables volumetric processing on self‐intersecting models. We leverage conformalized mean‐curvature flow, which removes self‐intersections, and define an intrinsically similar reverse flow, which prevents them. We tetrahedralize the resulting surface and map the mesh inside the original surface. We demonstrate the effectiveness of our method with applications to automatic skinning weight computation, physically based simulation and geodesic distance computation.
Bibliografia:	ArticleID:CGF12181 ark:/67375/WNG-D5P2QLMB-2 istex:74B2EFDDE1062DA37457E9E822BB945412034BFD SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
ISSN:	0167-7055 1467-8659
DOI:	10.1111/cgf.12181