Joint TV-L1 optical flow and occlusion estimation

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• dc.contributor.author Garamendi, Juan Francisco
• dc.contributor.author Lazcano, Vanel
• dc.contributor.author Ballester, Coloma
• dc.date.accessioned 2021-02-26T07:16:35Z
• dc.date.available 2021-02-26T07:16:35Z
• dc.date.issued 2019
• dc.description.abstract This document describes an implementation of the energy functional minimization proposed by Ballester, Garrido, Lazcano and Caselles for joint optical flow and occlusion estimation. The method build up from the ideas behind the TV-L1 approach introduced by Zach, Pock and Bischof in 2007 but incorporating information that allows to detect occlusions. This information is based on the divergence of the flow and the proposed energy favors the location of occlusions on regions where this divergence is negative. The implemented variational method uses three consecutive frames. The energy functional is composed of regularization terms using the total variation, a data term using the L1 norm, and a term dealing with the occlusions. In the present implementation, we solve the stationary system of partial differential equations arising from the dual minimization problem associated with the TV operator by a variation of the box relaxation numerical scheme proposed by Garamendi, Gaspar, Malpica and Schiavi. This makes the overall algorithm faster than previous implementations based on a gradient descent method.en
• dc.description.sponsorship The first author was partially supported by the Ag`encia de Gestió d’Ajuts Universitaris i de Recerca de la Generalitat de Catalunya within the project PDJ-2014-00038. The first and third authors acknowledge partial support by the MINECO/FEDER project with reference TIN2015- 70410-C2-1-R and by the MICINN project with reference MTM2012-30772.
• dc.format.mimetype application/pdf
• dc.identifier.citation Garamendi JF, Lazcano V, Ballester C. Joint TV-L1 optical flow and occlusion estimation. Image Processing On Line. 2019 Dec 23;9:432-52. DOI: 10.5201/ipol.2019.118
• dc.identifier.doi http://dx.doi.org/10.5201/ipol.2019.118
• dc.identifier.issn 2105-1232
• dc.identifier.uri http://hdl.handle.net/10230/46595
• dc.language.iso eng
• dc.publisher IPOL
• dc.relation.ispartof Image Processing On Line. 2019 Dec 23;9:432-52
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/TIN2015-70410-C2-1-R
• dc.rights © 2019 IPOL & the authors. The article is distributed under a Creative Commons CC-BY-NC-SA license (http://creativecommons.org/licenses/by-nc-sa/3.0/).
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
• dc.subject.keyword Optical flowen
• dc.subject.keyword Occlusionsen
• dc.subject.keyword Total variationen
• dc.subject.keyword TV-L1en
• dc.subject.keyword Staggereden
• dc.subject.keyword Box cell centereden
• dc.title Joint TV-L1 optical flow and occlusion estimationen
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion