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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/CQiqL
Repositorysid.inpe.br/banon/2004/07.21.21.31
Last Update2004:07.21.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/07.21.21.31.47
Metadata Last Update2022:06.14.00.12.34 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352968
Citation KeyLewinerGomeLopeCrai:2004:ArBaCu
TitleArc-length based curvature estimator
FormatOn-line
Year2004
Access Date2024, Apr. 28
Number of Files1
Size509 KiB
2. Context
Author1 Lewiner, Thomas
2 Gomes Júnior, João
3 Lopes, Hélio
4 Craizer, Marcos
Affiliation1 PUC-­Rio, Departamento de Matematica, Rio de Janeiro -- Brazil
2 INRIA, Geometrica Project, Sophia Antipolis -- France
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Addressthomas.lewiner@polytechnique.org
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-07-17 14:10:55 :: tomlew -> banon ::
2008-08-26 15:15:42 :: banon -> administrator ::
2009-08-13 20:37:24 :: administrator -> banon ::
2010-08-28 20:01:13 :: banon -> administrator ::
2022-06-14 00:12:34 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsDifferential Geometry
Curvature Estimation
Weighted Least-­Squares
Geometry Processing
AbstractMany applications of geometry processing and computer vision relies on geometric properties of curves, particularly their curvature. Several methods have been proposed to estimate the curvature of a planar curve, most of them for curves in digital spaces. This work proposes a new method for curvature estimation based on weighted least square fitting and local arc­length approximation. Convergence analysis of this method and noise impact on the estimator accuracy are given. Numerical robustness issues are addressed with practical solutions. The implementation of the method is compared to other curvature estimation methods.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Arc-length based curvature...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Arc-length based curvature...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZeBBx/CQiqL
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/CQiqL
Languageen
Target FileCurvature_Sibgrapi.pdf
User Grouptomlew
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 8
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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