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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPAW/3RN64Q8
Repositorysid.inpe.br/sibgrapi/2018/08.27.17.16
Last Update2018:09.08.12.17.30 administrator
Metadatasid.inpe.br/sibgrapi/2018/08.27.17.16.23
Metadata Last Update2020:02.19.03.10.44 administrator
Citation KeyHurtadoGattRapoCoel:2018:AdPaMe
TitleAdaptive patches for mesh denoising
FormatOn-line
Year2018
DateOct. 29 - Nov. 1, 2018
Access Date2020, Dec. 02
Number of Files1
Size11981 KiB
Context area
Author1 Hurtado, Jan
2 Gattass, Marcelo
3 Raposo, Alberto
4 Coelho, Jéferson
Affiliation1 Pontifícia Universidade Católica do Rio de Janeiro
2 Pontifícia Universidade Católica do Rio de Janeiro
3 Pontifícia Universidade Católica do Rio de Janeiro
4 Pontifícia Universidade Católica do Rio de Janeiro
EditorRoss, Arun
Gastal, Eduardo S. L.
Jorge, Joaquim A.
Queiroz, Ricardo L. de
Minetto, Rodrigo
Sarkar, Sudeep
Papa, João Paulo
Oliveira, Manuel M.
Arbeláez, Pablo
Mery, Domingo
Oliveira, Maria Cristina Ferreira de
Spina, Thiago Vallin
Mendes, Caroline Mazetto
Costa, Henrique Sérgio Gutierrez
Mejail, Marta Estela
Geus, Klaus de
Scheer, Sergio
e-Mail Addresshurtado@tecgraf.puc-rio.br
Conference NameConference on Graphics, Patterns and Images, 31 (SIBGRAPI)
Conference LocationFoz do Iguaçu, PR, Brazil
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2018-08-28 13:14:30 :: hurtado@tecgraf.puc-rio.br -> administrator :: 2018
2018-09-03 20:37:56 :: administrator -> hurtado@tecgraf.puc-rio.br :: 2018
2018-09-08 12:17:30 :: hurtado@tecgraf.puc-rio.br -> administrator :: 2018
2020-02-19 03:10:44 :: administrator -> :: 2018
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Is the master or a copy?is the master
Document Stagecompleted
Document Stagenot transferred
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
Keywordsadaptive patches, mesh denoising.
AbstractThe generation of triangular meshes typically introduces undesired noise which comes from different sources. Mesh denoising is a geometry processing task to remove this kind of distortion. To preserve the geometric fidelity of the desired mesh, a mesh denoising algorithm must maintain the object details while removing artificial high-frequencies from the surface. In this work, we propose a two-step algorithm which uses adaptive patches and bilateral filtering to denoise the normal vector field, and then update vertex positions fitting the faces to the denoised normals. The computation of the adaptive patches is our main contribution. We formulate this computation as local quadratic optimization problems that can be controlled by a set of parameters to obtain the desired behavior. We compared our proposal with several algorithms proposed in the literature using synthetic and real data. Our algorithm yields better results in general and is based on a formal mathematical formulation.
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adaptive-patches-SIBGRAPI2018.pdf 27/08/2018 14:16 11.7 MiB
AdaptivePatchesForMeshDenoising-SIBGRAPI2018.pdf 28/08/2018 10:14 11.7 MiB
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Languageen
Target FilePID5560825.pdf
User Grouphurtado@tecgraf.puc-rio.br
Visibilityshown
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Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPAW/3RPADUS
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition 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

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