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dc.contributor.authorGarrido L., Ballester C.es_CL
dc.contributor.authorLazcano, Vadel [Universidad Mayor, Chile]es_CL
dc.date.accessioned2020-08-12T14:11:55Z
dc.date.accessioned2020-08-12T19:30:39Z
dc.date.available2020-08-12T14:11:55Z
dc.date.available2020-08-12T19:30:39Z
dc.date.issued2018es_CL
dc.identifier.citationLazcano V, Garrido L, Ballester C. Jointly optical flow and occlusion estimation for images with large displacements. In: Bechmann D, Cláudio AP, Braz J. Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP. 2018 Jan 27-29; Funchal, Madeira, Portugal. Setúbal: Scitepress; 2018. p. 588-95. DOI: 10.5220/0006716305880595es_CL
dc.identifier.urihttps://www.semanticscholar.org/paper/Jointly-Optical-Flow-and-Occlusion-Estimation-for-Lazcano-Garrido/09002943ff95669528770d916715bf612a2d2bf4es_CL
dc.identifier.urihttps://www.scitepress.org/Papers/2018/67163/pdf/index.htmles_CL
dc.identifier.urihttp://repositorio.umayor.cl/xmlui/handle/sibum/6970
dc.descriptionComunicación presentada a: VISIGRAPP 2018, celebrat del 27 al 29 de gemer de 2018 a Funchal, Madeira, Portugal.
dc.description.abstractThis paper deals with motion estimation of objects in a video sequence. This problem is known as optical flow estimation. Traditional models to estimate it fail in presence of occlusions and non-uniform illumination. To tackle these problems we propose a variational model to jointly estimate optical flow and occlusions. The proposed model is able to deal with the usual drawback of variational methods in dealing with large displacements of objects in the scene which are larger than the object itself. The addition of a term that balances gradient and intensities increases the robustness to illumination changes of the proposed model. The inclusion of a supplementary matching obtained by exhaustive search in specific locations helps to follow large displacements.es_CL
dc.format.extentPaper presentado a conferencia
dc.language.isoenes_CL
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
dc.sourceComunicación presentada a: VISIGRAPP 2018, celebrat del 27 al 29 de gemer de 2018 a Funchal, Madeira, Portugal., 2018. 5(): p: 588-595
dc.titleJointly optical flow and occlusion estimation for images with large displacementses_CL
dc.typeArtículo o paperes_CL
umayor.facultadFacultad de Ciencias
umayor.indizadorCOT
umayor.indexadoSCOPUSes_CL
dc.identifier.doiDOI: 10.5220/0006716305880595es_CL]
umayor.indicadores.scopus-(scimago-sjr)ÍNDICE H: 237es_CL


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