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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/386CDGL
Repositorysid.inpe.br/sibgrapi/2010/08.29.11.09
Last Update2010:08.29.11.09.05 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2010/08.29.11.09.06
Metadata Last Update2022:06.14.00.06.52 (UTC) administrator
DOI10.1109/SIBGRAPI.2010.22
Citation KeyNascimentoPaixLopeLewi:2010:ToVeFi
TitleTopology-Aware Vector Field Denoising
FormatPrinted, On-line.
Year2010
Access Date2024, May 02
Number of Files1
Size12080 KiB
2. Context
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, RS, Brazil
Date30 Aug.-3 Sep. 2010
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-10-01 04:19:38 :: lewiner@gmail.com -> administrator :: 2010
2022-06-14 00:06:52 :: administrator -> :: 2010
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2010 > Topology-Aware Vector Field...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Topology-Aware Vector Field...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/386CDGL
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/386CDGL
Languageen
Target FileTopoVF_sibgrapi_final.pdf
User Grouplewiner@gmail.com
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJT6B
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.20.21 4
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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