Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2017:
Metadata Last Update2020: administrator
Citation KeyDuarteSach:2017:MeCuFl
TitleMean Curvature Flow and Applications
Access Date2021, Jan. 25
Number of Files1
Size2104 KiB
Context area
Author1 Duarte, Maria Eduarda
2 Sacht, Leonardo
EditorTorchelsen, Rafael Piccin
Nascimento, Erickson Rangel do
Panozzo, Daniele
Liu, Zicheng
Farias, Mylène
Viera, Thales
Sacht, Leonardo
Ferreira, Nivan
Comba, João Luiz Dihl
Hirata, Nina
Schiavon Porto, Marcelo
Vital, Creto
Pagot, Christian Azambuja
Petronetto, Fabiano
Clua, Esteban
Cardeal, Flávio
Conference NameConference on Graphics, Patterns and Images, 30 (SIBGRAPI)
Conference LocationNiterói, RJ
DateOct. 17-20, 2017
Book TitleProceedings
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeUndergraduate Work
History2017-09-04 18:39:43 :: -> administrator ::
2020-02-20 22:06:47 :: administrator -> :: 2017
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Keywordsmean curvature flow, geometry processing, triangular mesh, Laplace-Beltrami operator.
AbstractInput data for geometry processing is commonly problematic: the discretization of the volume of a surface may contain self-intersections or noise. These problems are related to curvature. In this work we review some concepts in differential geometry, geometry processing and present the Mean Curvature Flow to solve those problems. We review some modifications in the discrete case to improve the discrete flow. Then we analyse an implementation of the Conformalized Mean Curvature Flow.
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Next Higher Units8JMKD3MGPAW/3PJT9LS
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