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dc.contributor.authorLin, Xiao
dc.contributor.authorCasas Pla, Josep Ramon
dc.contributor.authorPardàs Feliu, Montse
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2016-01-20T15:59:17Z
dc.date.issued2015
dc.identifier.citationLin, X., Casas, J., Pardas, M. Time consistent estimation of End-effectors from RGB-D data. A: Pacific Rim Symposim on Image and Video Technology. "Image and Video Technology - PSIVT 2015 Workshops: RV 2015, GPID 2013, VG 2015, EO4AS 2015, MCBMIIA 2015, and VSWS 2015: Auckland, New Zealand: November 23-27, 2015: revised selected papers". Auckland: Springer, 2015, p. 1-14.
dc.identifier.isbn978-3-319-30285-0
dc.identifier.urihttp://hdl.handle.net/2117/81761
dc.description.abstractEnd-effectors are usually related to the location of the free end of a kinematic chain. Each of them contains rich structure information about the entity. Hence, estimating stable end-effectors of different entities enables robust tracking as well as a generic representation. In this paper, we present a system for end-effector estimation from RGB-D stream data. Instead of relying on a specific pose or configuration for initialization, we exploit time coherence without making any assumption with respect to the prior knowledge. This makes the estimation process more robust in a predict-update framework. Qualitative and quantitative experiments are performed against the reference method with promising results.
dc.format.extent14 p.
dc.language.isoeng
dc.publisherSpringer
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::Processament de la imatge i del senyal vídeo
dc.subject.lcshImage processing
dc.subject.otherEnd-effector estimation
dc.subject.otherTime coherence
dc.subject.otherTopology representation
dc.titleTime consistent estimation of End-effectors from RGB-D data
dc.typeConference lecture
dc.subject.lemacImatges -- Processament
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
drac.iddocument17373858
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorLin, X.; Casas, J.; Pardas, M.
upcommons.citation.contributorPacific Rim Symposim on Image and Video Technology
upcommons.citation.pubplaceAuckland
upcommons.citation.publishedtrue
upcommons.citation.publicationNameImage and Video Technology - PSIVT 2015 Workshops: RV 2015, GPID 2013, VG 2015, EO4AS 2015, MCBMIIA 2015, and VSWS 2015: Auckland, New Zealand: November 23-27, 2015: revised selected papers
upcommons.citation.startingPage1
upcommons.citation.endingPage14


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