Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35S5CLP
Repositorysid.inpe.br/sibgrapi@80/2009/08.17.15.44
Last Update2009:08.17.15.44.51 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.17.15.44.52
Metadata Last Update2022:06.14.00.13.56 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.13
Citation KeyPaixãoPLLPTLL:2009:RaWaVe
TitleRandom Walks for Vector Field Denoising
FormatPrinted, On-line.
Year2009
Access Date2024, May 02
Number of Files1
Size7357 KiB
2. Context
Author1 Paixão, João
2 Petronetto, Fabiano
3 Lage, Marcos
4 Laier, Alex
5 Pesco, Sinésio
6 Tavares, Geovan
7 Lewiner, Thomas
8 Lopes, Hélio
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
5 Matmídia Laboratory – Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil
6 Matmídia Laboratory – Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil
7 Matmídia Laboratory – Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil
8 Matmídia Laboratory – Department of Mathematics, PUC–Rio – Rio de Janeiro, Brazil
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addresslewiner@gmail.com
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:24 :: lewiner@gmail.com -> administrator ::
2022-06-14 00:13:56 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsDiscrete Vector Field
Denoising
Random Walk
Markov Chain
AbstractIn recent years, several devices allow to directly measure real vector fields, leading to a better understanding of fundamental phenomena such as fluid simulation or brain water movement. This turns vector field visualization and analysis important tools for many applications in engineering and in medicine. However, real data is generally corrupted by noise, puzzling the understanding provided by those tools. Those tools thus need a denoising step as preprocessing, although usual denoising removes discontinuities, which are fundamental for vector field analysis. This paper proposes a novel method for vector field denoising based on random walks which preserve those discontinuities. It works in a meshless setting; it is fast, simple to implement, and shows a better performance than the traditional gaussian denoising technique.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > Random Walks for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Random Walks for...
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/8JMKD3MGPBW4/35S5CLP
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35S5CLP
Languageen
Target File57789_2.pdf
User Grouplewiner@gmail.com
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 3
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


Close