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dc.contributor.authorLin, Xiao
dc.contributor.authorPardàs Feliu, Montse
dc.contributor.authorCasas Pla, Josep Ramon
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.identifier.citationLin, X., Pardas, M., Casas, J. Time-consistent estimation of end-effectors from RGB-D data. A: "Image and video technology". Berlín: Springer, 2016, p. 529-543.
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.extent15 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject.lcshDigital imaging and computer vision
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.typePart of book or chapter of book
dc.subject.lemacImatges -- Processament
dc.subject.lemacImatges digitals
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
local.citation.authorLin, X.; Pardas, M.; Casas, J.
local.citation.publicationNameImage and video technology

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