Mostrar el registro sencillo del ítem

dc.contributor.authorJaimez, Mariano
dc.contributor.authorSouiai, Mohamed
dc.contributor.authorGonzález-Jiménez, Antonio Javier 
dc.contributor.authorCremers, Daniel
dc.date.accessioned2015-06-29T08:39:40Z
dc.date.available2015-06-29T08:39:40Z
dc.date.created2015
dc.date.issued2015-05
dc.identifier.citationM. Jaimez, M. Souiai, J. Gonzalez-Jimenez, D. Cremers, "A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow", IEEE Int. Conference on Robotics and Automation (ICRA), Seattle, USA, 2015.es_ES
dc.identifier.urihttp://hdl.handle.net/10630/9966
dc.description.abstractThis paper presents the first method to compute dense scene flow in real-time for RGB-D cameras. It is based on a variational formulation where brightness constancy and geometric consistency are imposed. Accounting for the depth data provided by RGB-D cameras, regularization of the flow field is imposed on the 3D surface (or set of surfaces) of the observed scene instead of on the image plane, leading to more geometrically consistent results. The minimization problem is efficiently solved by a primal-dual algorithm which is implemented on a GPU, achieving a previously unseen temporal performance. Several tests have been conducted to compare our approach with a state-of-the-art work (RGB-D flow) where quantitative and qualitative results are evaluated. Moreover, an additional set of experiments have been carried out to show the applicability of our work to estimate motion in realtime. Results demonstrate the accuracy of our approach, which outperforms the RGB-D flow, and which is able to estimate heterogeneous and non-rigid motions at a high frame rate.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. Research supported by the Spanish Government under project DPI1011-25483 and the Spanish grant program FPI-MICINN 2012.es_ES
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectAutomatizaciónes_ES
dc.subject.otherScene flowes_ES
dc.subject.otherRGBD cameraes_ES
dc.subject.otherPrimal-duales_ES
dc.subject.otherVariational methodses_ES
dc.titleA Primal-Dual Framework for Real-Time Dense RGB-D Scene Flowes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitleInt. Conference on Robotics and Automation (ICRA)es_ES
dc.relation.eventplaceSeattle, USAes_ES
dc.relation.eventdateMayo, 2015es_ES
dc.rights.ccby-nc-nd


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem