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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/MaSM9
Repositorysid.inpe.br/sibgrapi@80/2006/08.16.16.56
Last Update2006:08.16.16.56.46 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/08.16.16.56.47
Metadata Last Update2022:06.14.00.13.19 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.15
Citation KeyStukeBartMota:2006:EsMuOr
TitleEstimation of Multiple Orientations and Multiple Motions in Multi-Dimensional Signals
FormatOn-line
Year2006
Access Date2024, May 05
Number of Files1
Size386 KiB
2. Context
Author1 Stuke, Ingo
2 Barth, Erhardt
3 Mota, Cicero
Affiliation1 Institute for Signal Processing, University of Luebeck
2 Institute for Neuro- and Bioinformatics, University of L uebeck
3 Departamento de Matemática, Universidade Federal do Amazonas
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addresscicmota@gmail.com
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus, AM, Brazil
Date8-11 Oct. 2006
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2006-08-16 16:56:47 :: cicmota -> banon ::
2006-08-30 21:59:08 :: banon -> cicmota ::
2008-07-17 14:11:04 :: cicmota -> administrator ::
2009-08-13 20:38:12 :: administrator -> banon ::
2010-08-28 20:02:25 :: banon -> administrator ::
2022-06-14 00:13:19 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsmultiple orientations
multiple motions
transparency
occlusion
AbstractEstimation of multiple orientations in multi-dimensional signals is a strong non-linear problem. A solution form this problem is presented in two steps. First, it is linearized by introducing the so-called "mixed orientations parameters" as an unique, albeit implicit, descriptor of the orientations. Next, the non-linearities are solved in order to find the individual orientations. For two-dimensional signals, e.g., images, this decomposition step is solved by seeking for the roots of polynomials. For multi-dimensional signals, the decomposition problem is reduced to a cascade of decompositions problems in two dimensional signals and solved. Therefore, a full solution for the estimation of any numbers of orientations in any dimension is achieved.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Estimation of Multiple...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Estimation of Multiple...
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/6qtX3pFwXQZG2LgkFdY/MaSM9
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/MaSM9
Languageen
Target FileMotaC_EstimationOrientationMotion.pdf
User Groupcicmota
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 4
sid.inpe.br/sibgrapi/2022/06.10.21.49 2
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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