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1. Identity statement
Reference TypeJournal Article
Sitemarte3.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YCT/H3TxL
Repositorysid.inpe.br/iris@1905/2005/08.04.08.50   (restricted access)
Last Update2007:11.19.13.52.56 (UTC) administrator
Metadata Repositorysid.inpe.br/iris@1905/2005/08.04.08.51
Metadata Last Update2018:06.06.03.56.28 (UTC) administrator
Secondary KeyINPE-14924-PRE/9837
ISSN0302-9743
Label10903
Citation KeySilvaSimo:2002:CoPrUn
TitleThe correspondence problem under an uncertainty reasoning approach
Year2002
Secondary Date20020608
Access Date2024, Apr. 28
Secondary TypePRE PI
Number of Files1
Size549 KiB
2. Context
Author1 Silva, J. D. S.
2 Simoni, P. O.
Group1 LAC-INPE-MCT-BR
2 LAC-INPE-MCT-BR
JournalLecture Notes in Artificial Intelligence
Volume2507
Number355-365
History (UTC)2007-04-03 01:18:21 :: administrator -> jefferson ::
2007-11-19 13:52:56 :: jefferson -> administrator ::
2012-10-21 02:42:15 :: administrator -> jefferson ::
2013-02-07 13:46:38 :: jefferson -> administrator :: 2002
2013-02-07 13:48:01 :: administrator -> jefferson :: 2002
2013-02-07 15:04:11 :: jefferson -> banon :: 2002
2013-02-19 11:48:31 :: banon -> jefferson :: 2002
2013-03-21 12:34:02 :: jefferson -> administrator :: 2002
2018-06-06 03:56:28 :: administrator -> marciana :: 2002
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsCOMPUTACAO APLICADA
images
AbstractIn this paper, the Dempster-Shafer Theory for uncertainty reasoning is presented as a computation tool in designing a model to approach the correspondence problem in Computer Vision. In previous works (Silva and Simoni, 2001a; Silva and Simoni, 2001b)the proposed methodology showed its effectiveness in establishing the correspondence of a pair of images with similar brightness and contrast. In this paper, the efficiency of the uncertainty reasoning methodology is evaluated by applying the method to pairs of real world images with different brightness and contrast. Contextual and structural features of a point are treated as corresponding evidences. The Dempster's rule of combination is used to combine the existing evidences leading to an evidential interval for each candidate point. A search process maximizes the Belief on the combined evidences. The conducted experiments showed the robustness of the approach in establishing the correspondence in situations for which there is illumination and/or focus changes from one real world image to the other.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > The correspondence problem...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target FileThe correspondence problem, José demisio.pdf
User Groupadministrator
banon
jefferson
Visibilityshown
Copy HolderSID/SCD
Archiving Policydenypublisher denyfinaldraft12
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3ESGTTP
DisseminationWEBSCI; PORTALCAPES.
Host Collectionsid.inpe.br/banon/2001/04.03.15.36
6. Notes
NotesInternational
Conference
Artificial
Intelligence
and
Application
May
2002
Málaga
ES.
Empty Fieldsaffiliation alternatejournal archivist callnumber copyright creatorhistory descriptionlevel doi e-mailaddress electronicmailaddress format isbn lineage mark mirrorrepository month nextedition orcid pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Description control
e-Mail (login)marciana
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