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dc.contributor.authorAmato, Ariel
dc.contributor.authorAl, Murad
dc.contributor.authorLladós, Josep
dc.contributor.authorGonzàlez, Jordi
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.identifier.citationAmato, Ariel; Al, Murad; Lladós, Josep; Gonzàlez, Jordi. "Computationally efficient graph matching via energy vector extraction". A: 2007 International Workshop on Advances in Pattern Recognition (IWARP), Plymouth, Gran Bretanya, 2007. Springer, 2007, p. 1-7.
dc.description.abstractThis paper presents a method for graph matching based on domain knowledge by quantifying representative graph features. Our method searches and extracts the most relevant cues in different graphs. Once these cues are extracted and quantified, a new energy function is used to match the different graphs based on the obtained features values. This approach has been successfully applied for deformable template matching. As a result the error of matching is reduced, as well as the computational cost by efficiently selecting and grouping representative features.
dc.format.extentp. 1-7
dc.relation.ispartofInternational Workshop on Advances in Pattern Recognition (IWARP)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshComputer vision
dc.titleComputationally efficient graph matching via energy vector extraction
dc.typeConference report
dc.subject.lemacVisió per ordinador
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition::Computer vision
dc.rights.accessOpen Access

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