Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22925
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJORISSEN, Lode-
dc.contributor.authorGOORTS, Patrik-
dc.contributor.authorLAFRUIT, Gauthier-
dc.contributor.authorBEKAERT, Philippe-
dc.date.accessioned2016-12-20T14:24:40Z-
dc.date.available2016-12-20T14:24:40Z-
dc.date.issued2016-
dc.identifier.citationProceedings of the 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), IEEE,-
dc.identifier.isbn9781509033133-
dc.identifier.issn2161-2021-
dc.identifier.urihttp://hdl.handle.net/1942/22925-
dc.description.abstractIn this paper, we propose a depth map estimation algorithm, based on Epipolar Plane Image (EPI) line extraction, that is able to correctly handle partially occluded objects in wide baseline camera setups. Furthermore, we introduce a descriptor matching technique to reduce the negative influence of inaccurate color correction and similarly textured objects on the depth maps. A visual comparison between an existing EPI-line extraction algorithm and our method is provided, showing that our method provides more accurate and consistent depth maps in most cases.-
dc.description.sponsorshipPart of this research is funded by the European Commission in the scope of the DREAMSPACE project-
dc.language.isoen-
dc.publisherIEEE-
dc.relation.ispartofseriesIEEE Xplore-
dc.rights(c) 2016 IEEE-
dc.subject.otherDepth Maps-
dc.subject.otherOcclusions-
dc.subject.otherColor Inconsistencies-
dc.subject.otherEpipolar Plane Image-
dc.subject.otherLight Fields-
dc.titleMulti-view wide baseline depth estimation robust to sparse input sampling-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate4-6 July 2016-
local.bibliographicCitation.conferencename3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)-
local.bibliographicCitation.conferenceplaceHamburg, Germany-
local.format.pages40-
local.bibliographicCitation.jcatC1-
dc.description.notesJorissen, L (reprint author), Hasselt Univ tUL, Expertise Ctr Digital Media, Wetenschapspk 2, B-3590 Diepenbeek, Belgium.-
local.publisher.placePiscataway, New Jersey-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1109/3DTV.2016.7548956-
dc.identifier.isi000390840500015-
local.bibliographicCitation.btitleProceedings of the 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)-
local.uhasselt.internationalno-
item.validationecoom 2018-
item.contributorJORISSEN, Lode-
item.contributorGOORTS, Patrik-
item.contributorLAFRUIT, Gauthier-
item.contributorBEKAERT, Philippe-
item.fullcitationJORISSEN, Lode; GOORTS, Patrik; LAFRUIT, Gauthier & BEKAERT, Philippe (2016) Multi-view wide baseline depth estimation robust to sparse input sampling. In: Proceedings of the 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), IEEE,.-
item.fulltextWith Fulltext-
item.accessRightsRestricted Access-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
3DTV-con2016 (2) (1).pdf
  Restricted Access		Published version9.32 MBAdobe PDFView/Open    Request a copy
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.