Show simple item record

dc.contributor.authorVillamizar Vergel, Michael Alejandro
dc.contributor.authorGarrell Zulueta, Anais
dc.contributor.authorSanfeliu Cortés, Alberto
dc.contributor.authorMoreno-Noguer, Francesc
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2016-02-10T18:48:57Z
dc.date.available2016-02-10T18:48:57Z
dc.date.issued2015
dc.identifier.citationVillamizar, M.A., Garrell, A., Sanfeliu, A., Moreno-Noguer, F. Multimodal object recognition using random clustering trees. A: Iberian conference on pattern recognition and image analysis. "7th Iberian Conference on Pattern Recognition and Image Analysis, 2015, Santiago de Compostela, in Pattern Recognition and Image Analysis, Vol 9117 of Lecture Notes in Computer Science". Santiago de Compostela: Springer, 2015, p. 496-504.
dc.identifier.urihttp://hdl.handle.net/2117/82801
dc.description.abstractIn this paper, we present an object recognition approach that in addition allows to discover intra-class mo dalities exhibiting high-correlated visual information. Unlike to more conventional approaches based on computing multiple sp ecialized classiers, the proposed approach combines a single classier, Boosted Random Ferns (BRFs), with probabilistic Latent Semantic Analysis (pLSA) in order to recognize an object class and to find automatically the most prominent intra-class appearance mo dalities (clusters) through tree-structured visual words. The proposed approach has b een validated in synthetic and real experiments where we show that the method is able to recognize objects with multiple appearance
dc.format.extent9 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.otherobject recognition
dc.subject.otherrandom trees
dc.subject.otherclustering
dc.subject.otherboosting
dc.titleMultimodal object recognition using random clustering trees
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.identifier.doi10.1007/978-3-319-19390-8_56
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Pattern recognition::Object recognition
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-319-19390-8_56
dc.rights.accessOpen Access
drac.iddocument16825524
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/FP7/287617/EU/Aerial Robotics Cooperative Assembly System/ARCAS
upcommons.citation.authorVillamizar, M.A., Garrell, A., Sanfeliu, A., Moreno-Noguer, F.
upcommons.citation.contributorIberian conference on pattern recognition and image analysis
upcommons.citation.pubplaceSantiago de Compostela
upcommons.citation.publishedtrue
upcommons.citation.publicationName7th Iberian Conference on Pattern Recognition and Image Analysis, 2015, Santiago de Compostela, in Pattern Recognition and Image Analysis, Vol 9117 of Lecture Notes in Computer Science
upcommons.citation.startingPage496
upcommons.citation.endingPage504


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder