Identity statement area
Reference TypeConference Proceedings
Last Update2005: administrator
Metadata Last Update2020: administrator
Citation KeyLewinerCrLoPeVeMe:2005:GeCoAr
TitleGEncode: Geometry-driven compression in arbitrary dimension and co-dimension
Date9-12 Oct. 2005
Access Date2020, Dec. 03
Number of Files1
Size675 KiB
Context area
Author1 Lewiner, Thomas
2 Craizer, Marcos
3 Lopes, Hélio
4 Pesco, Sinésio
5 Velho, Luiz
6 Medeiros, Esdras
Affiliation1 PUC–Rio — Departamento de Matemática — Matmídia Project — Rio de Janeiro — Brazil
2 INRIA — Géométrica Project — Sophia Antipolis — France
3 IMPA— Visgraf Project — Rio de Janeiro — Brazil
EditorRodrigues, Maria Andréia Formico
Frery, Alejandro César
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 18 (SIBGRAPI)
Conference LocationNatal
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2005-07-06 12:22:30 :: tomlew -> banon ::
2005-07-13 15:47:31 :: banon -> tomlew ::
2008-07-17 14:10:59 :: tomlew -> banon ::
2008-08-26 15:17:01 :: banon -> administrator ::
2009-08-13 20:37:45 :: administrator -> banon ::
2010-08-28 20:01:17 :: banon -> administrator ::
2020-02-19 03:19:09 :: administrator -> :: 2005
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Content TypeExternal Contribution
Tertiary TypeFull Paper
KeywordsGeometric compression, Mesh compression, Arbitrary dimensional meshes.
AbstractAmong the mesh compression algorithms, different schemes compress better specific categories of model. In particular, geometrydriven approaches have shown outstanding performances on isosurfaces. It would be expected these algorithm to also encode well meshes reconstructed from the geometry, or optimized by a geometric remeshing. GEncode is a new singlerate compression scheme that compresses the connectivity of these meshes at almost zerocost. It improves existing geometrydriven schemes for general meshes on both geometry and connectivity compression. This scheme extends naturally to meshes of arbitrary dimensions in arbitrary ambient space, and deals gracefully with nonmanifold meshes. Compression results for surfaces are competitive with existing schemes.
source Directory Contentthere are no files
agreement Directory Contentthere are no files
Conditions of access and use area
Target FileGEncode_Sibgrapi_final.pdf
User Grouptomlew
Allied materials area
Notes area
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume