Show simple item record

dc.contributor.authorSanromà Güell, Gerard
dc.contributor.authorAlquézar Mancho, René
dc.contributor.authorSerratosa Casanelles, Francesc
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2010-11-26T18:48:43Z
dc.date.available2010-11-26T18:48:43Z
dc.date.created2010
dc.date.issued2010
dc.identifier.citationSanromà, G.; Alquezar, R.; Serratosa, F. Graph matching using SIFT descriptors: an application to pose recovery of a mobile robot. A: International Conference on Computer Vision Theory and Applications. "5th International Conference on Computer Vision Theory and Applications". Angers: 2010, p. 249-254.
dc.identifier.urihttp://hdl.handle.net/2117/10430
dc.description.abstractImage-feature matching based on Local Invariant Feature Extraction (LIFE) methods has proven to be successful, and SIFT is one of the most effective. SIFT matching uses only local texture information to compute the correspondences. A number of approaches have been presented aimed at enhancing the image-features matches computed using only local information such as SIFT. What most of these approaches have in common is that they use a higher level information such as spatial arrangement of the feature points to reject a subset of outliers. The main limitation of the outlier rejectors is that they are not able to enhance the configuration of matches by adding new useful ones. In the present work we propose a graph matching algorithm aimed not only at rejecting erroneous matches but also at selecting additional useful ones. We use both the graph structure to encode the geometrical information and the SIFT descriptors in the node’s attributes to provide local texture information. This algorithm is an ensemble of successful ideas previously reported by other researchers. We demonstrate the effectiveness of our algorithm in a pose recovery application.
dc.format.extent6 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes
dc.subject.lcshPattern recognition systems
dc.subject.otherimage recognition mobile robots pattern recognition robot vision
dc.titleGraph matching using SIFT descriptors: an application to pose recovery of a mobile robot
dc.typeConference report
dc.subject.lemacReconeixement de formes (Informàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. SOCO - Soft Computing
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition::Object recognition
dc.relation.publisherversionhttp://visapp.visigrapp.org/VISAPP2010/index.htm
dc.rights.accessOpen Access
drac.iddocument4128676
dc.description.versionPostprint (published version)
upcommons.citation.authorSanromà, G.; Alquezar, R.; Serratosa, F.
upcommons.citation.contributorInternational Conference on Computer Vision Theory and Applications
upcommons.citation.pubplaceAngers
upcommons.citation.publishedtrue
upcommons.citation.publicationName5th International Conference on Computer Vision Theory and Applications
upcommons.citation.startingPage249
upcommons.citation.endingPage254


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain