Force-based representation for non-rigid shape and elastic model estimation

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Detalles Bibliográficos
Autores: Agudo Martínez, Antonio|||0000-0001-6845-4998, Moreno-Noguer, Francesc
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/130670
Acceso en línea:https://hdl.handle.net/2117/130670
https://dx.doi.org/10.1109/TPAMI.2017.2752710
Access Level:acceso abierto
Palabra clave:3D Reconstruction
Deformable models
Elastic Model
Expectation Maximization
Force
Force Space
Non-Rigid Structure from Motion
Shape
Solid modeling
Three-dimensional displays
Trajectory
Two dimensional displays
Classificació INSPEC::Modelling
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
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spelling Force-based representation for non-rigid shape and elastic model estimationAgudo Martínez, Antonio|||0000-0001-6845-4998Moreno-Noguer, Francesc3D ReconstructionDeformable modelsElastic ModelExpectation MaximizationForceForce SpaceNon-Rigid Structure from MotionShapeSolid modelingThree-dimensional displaysTrajectoryTwo dimensional displaysClassificació INSPEC::ModellingÀrees temàtiques de la UPC::Informàtica::Automàtica i control© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.IEEE This paper addresses the problem of simultaneously recovering 3D shape, pose and the elastic model of a deformable object from only 2D point tracks in a monocular video. This is a severely under-constrained problem that has been typically addressed by enforcing the shape or the point trajectories to lie on low-rank dimensional spaces. We show that formulating the problem in terms of a low-rank force space that induces the deformation and introducing the elastic model as an additional unknown, allows for a better physical interpretation of the resulting priors and a more accurate representation of the actual object's behavior. In order to simultaneously estimate force, pose, and the elastic model of the object we use an expectation maximization strategy, where each of these parameters are successively learned by partial M-steps. Once the elastic model is learned, it can be transfered to similar objects to code its 3D deformation. Moreover, our approach can robustly deal with missing data, and encode both rigid and non-rigid points under the same formalism. We thoroughly validate the approach on 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.Peer ReviewedInstitute of Electrical and Electronics Engineers (IEEE)20182018-09-0120192019-03-20journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/130670https://dx.doi.org/10.1109/TPAMI.2017.2752710reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/1306702026-05-27T15:37:01Z
dc.title.none.fl_str_mv Force-based representation for non-rigid shape and elastic model estimation
title Force-based representation for non-rigid shape and elastic model estimation
spellingShingle Force-based representation for non-rigid shape and elastic model estimation
Agudo Martínez, Antonio|||0000-0001-6845-4998
3D Reconstruction
Deformable models
Elastic Model
Expectation Maximization
Force
Force Space
Non-Rigid Structure from Motion
Shape
Solid modeling
Three-dimensional displays
Trajectory
Two dimensional displays
Classificació INSPEC::Modelling
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
title_short Force-based representation for non-rigid shape and elastic model estimation
title_full Force-based representation for non-rigid shape and elastic model estimation
title_fullStr Force-based representation for non-rigid shape and elastic model estimation
title_full_unstemmed Force-based representation for non-rigid shape and elastic model estimation
title_sort Force-based representation for non-rigid shape and elastic model estimation
dc.creator.none.fl_str_mv Agudo Martínez, Antonio|||0000-0001-6845-4998
Moreno-Noguer, Francesc
author Agudo Martínez, Antonio|||0000-0001-6845-4998
author_facet Agudo Martínez, Antonio|||0000-0001-6845-4998
Moreno-Noguer, Francesc
author_role author
author2 Moreno-Noguer, Francesc
author2_role author
dc.subject.none.fl_str_mv 3D Reconstruction
Deformable models
Elastic Model
Expectation Maximization
Force
Force Space
Non-Rigid Structure from Motion
Shape
Solid modeling
Three-dimensional displays
Trajectory
Two dimensional displays
Classificació INSPEC::Modelling
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
topic 3D Reconstruction
Deformable models
Elastic Model
Expectation Maximization
Force
Force Space
Non-Rigid Structure from Motion
Shape
Solid modeling
Three-dimensional displays
Trajectory
Two dimensional displays
Classificació INSPEC::Modelling
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
description © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-09-01
2019
2019-03-20
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/130670
https://dx.doi.org/10.1109/TPAMI.2017.2752710
url https://hdl.handle.net/2117/130670
https://dx.doi.org/10.1109/TPAMI.2017.2752710
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers (IEEE)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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