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Reference TypeConference Proceedings
Sitesibgrapi.sid.inpe.br
Identifier8JMKD3MGPBW34M/386CDGL
Repositorysid.inpe.br/sibgrapi/2010/08.29.11.09
Last Update2010:08.29.11.09.05 lewiner@gmail.com
Metadatasid.inpe.br/sibgrapi/2010/08.29.11.09.06
Metadata Last Update2010:10.01.04.19.38 lewiner@gmail.com
Citation KeyNascimentoPaixLopeLewi:2010:ToVeFi
TitleTopology-Aware Vector Field Denoising
FormatPrinted, On-line.
Year2010
DateAug. 30 - Sep. 3, 2010
Access Date2020, Dec. 05
Number of Files1
Size12080 KiB
Context area
Author1 Nascimento, Renata
2 Paixão, João
3 Lopes, Hélio
4 Lewiner, Thomas
Affiliation1 Matmídia Laboratory – Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil
2 Matmídia Laboratory – Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil
3 Matmídia Laboratory – Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil
4 Matmídia Laboratory – Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil
EditorBellon, Olga
Esperança, Claudio
e-Mail Addresslewiner@gmail.com
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2010-10-01 04:19:38 :: lewiner@gmail.com -> :: 2010
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Transferable1
Content TypeExternal Contribution
Tertiary TypeFull Paper
Keywordsvector fields, topology, scale-spaces, denoising.
AbstractRecent developments in data acquisition technology enable to directly capture real vector fields, helping for a better understanding of physical phenomena. However measured data is corrupted by noise, puzzling the understanding of the phenomena. This turns the task of removing noise, i.e. denoising, an essential preprocessing step for a better analysis of the data. Nonetheless a careful use of denoising is required since usual algorithms not only remove the noise but can also eliminate information, in particular the vector field singularities, which are fundamental features in the analysis. This paper proposes a semi-automatic vector field denoising methodology, where the user visually controls the topological changes caused by classical vector field filtering in scale-spaces.
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Languageen
Target FileTopoVF_sibgrapi_final.pdf
User Grouplewiner@gmail.com
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Mirror Repositorydpi.inpe.br/banon-pc2@80/2006/08.30.19.27
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 documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark 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

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