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dc.contributor.authorAgudo Martínez, Antonio
dc.contributor.authorMoreno-Noguer, Francesc
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.date.accessioned2016-05-04T13:42:42Z
dc.date.available2016-05-04T13:42:42Z
dc.date.issued2015
dc.identifier.citationAgudo, A., Moreno-Noguer, F. Learning shape, motion and elastic models in force space. A: International Conference on Computer Vision. "Computer Vision (ICCV), 2015 IEEE International Conference on". Santiago de Chile: Institute of Electrical and Electronics Engineers (IEEE), 2015, p. 756-764.
dc.identifier.urihttp://hdl.handle.net/2117/86572
dc.description.abstractIn this paper, we address the problem of simultaneously recovering the 3D shape and pose of a deformable and potentially elastic object from 2D motion. This is a highly ambiguous problem typically tackled by using low-rank shape and trajectory constraints. We show that formulating the problem in terms of a low-rank force space that induces the deformation, allows for a better physical interpretation of the resulting priors and a more accurate representation of the actual object's behavior. However, this comes at the price of, besides force and pose, having to estimate the elastic model of the object. For this, we use an Expectation Maximization strategy, where each of these parameters are successively learned within partial M-steps, while robustly dealing with missing observations. We thoroughly validate the approach on both mocap and real sequences, showing more accurate 3D reconstructions than state-of-the-art, and additionally providing an estimate of the full elastic model with no a priori information.
dc.format.extent9 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Robòtica
dc.subject.othercomputer vision
dc.subject.otheroptimisation
dc.titleLearning shape, motion and elastic models in force space
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. ROBiri - Grup de Robòtica de l'IRI
dc.identifier.doi10.1109/ICCV.2015.93
dc.subject.inspecClassificació INSPEC::Pattern recognition::Computer vision
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7410450
dc.rights.accessOpen Access
local.identifier.drac17556993
dc.description.versionPostprint (author's final draft)
local.citation.authorAgudo, A.; Moreno-Noguer, F.
local.citation.contributorInternational Conference on Computer Vision
local.citation.pubplaceSantiago de Chile
local.citation.publicationNameComputer Vision (ICCV), 2015 IEEE International Conference on
local.citation.startingPage756
local.citation.endingPage764


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