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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3DG9JNH
Repositorysid.inpe.br/sibgrapi/2013/02.05.17.04
Last Update2013:02.05.17.04.21 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2013/02.05.17.04.21
Metadata Last Update2022:06.17.21.39.24 (UTC) administrator
ISBN978-85-7669-273-7
Citation KeyHancockWils:1995:AcGrMa
TitleActive graph matching
FormatImpresso, On-line.
Year1995
Access Date2024, May 03
Number of Files1
Size12280 KiB
2. Context
Author1 Hancock, Edwin R.
2 Wilson, Richard C.
Affiliation1 Department of Computer Science of University of York
2 Department of Computer Science of University of York
EditorLotufo, Roberto de Alencar
Mascarenhas, Nelson Delfino d'Ávila
e-Mail Addresscintiagraziele.silva@gmail.com
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 8 (SIBGRAPI)
Conference LocationSão Carlos, SP, Brazil
Date25-27 Oct. 1995
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Pages1-13
Book TitleAnais
Tertiary TypeArtigo
History (UTC)2013-02-05 17:04:21 :: cintiagraziele.silva@gmail.com -> administrator ::
2022-06-17 21:39:24 :: administrator -> cintiagraziele.silva@gmail.com :: 1995
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Keywordssimulation study
machine vision
graph representation
AbstractThis paper describes a novel approach to relational matching problems in machine vision. Rather than matching static scene descriptions, the approach adopts an active representation of the data to be matched. This representation is iteratively reconfigured to increase its degree of topological congruency with the model relational structure in a reconstructive matching process. The final restored graph representation is optimal in the sense that it has maximum a posteriori probability with respect to the available attributes for the objects under match. The benefits of the technique are demonstrated experimentally on the matching of cluttered synthetic aperture radar data to a model in the form of a digital map. The operational limits of the method are established in a simulation study.
TypePalestras Internacionais
Arrangement 1urlib.net > SDLA > Fonds > Full Index > Active graph matching
Arrangement 2urlib.net > SDLA > Fonds > SIBGRAPI 1995 > Sumário > Active graph matching
Arrangement 3urlib.net > SDLA > Fonds > SIBGRAPI 1995 > Sumário > Índice > Active graph matching
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/3DG9JNH
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3DG9JNH
Languageen
Target File1 Active graph matching.pdf
User Groupcintiagraziele.silva@gmail.com
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Next Higher Units8JMKD3MGPEW34M/4742MCS
8JMKD3MGPBW34M/3DKGHN2
8JMKD3MGPBW34M/3DL29P8
Citing Item Listsid.inpe.br/sibgrapi/2013/02.25.18.00 3
sid.inpe.br/sibgrapi/2013/02.20.16.53 1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group issn label lineage mark nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark url versiontype volume
7. Description control
e-Mail (login)cintiagraziele.silva@gmail.com
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