Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19035
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dc.contributor.authorJORISSEN, Lode-
dc.contributor.authorGOORTS, Patrik-
dc.contributor.authorROGMANS, Sammy-
dc.contributor.authorLAFRUIT, Gauthier-
dc.contributor.authorBEKAERT, Philippe-
dc.date.accessioned2015-07-27T10:48:22Z-
dc.date.available2015-07-27T10:48:22Z-
dc.date.issued2015-
dc.identifier.citationProceedings of the 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), p. 17-20.-
dc.identifier.isbn9781467380904-
dc.identifier.issn2161-2021-
dc.identifier.urihttp://hdl.handle.net/1942/19035-
dc.description.abstractIn this paper, we propose a novel, fully automatic method to obtain accurate view synthesis for soccer games. Existing methods often make assumptions about the scene. This usually requires manual input and introduces artifacts in situations not handled by those assumptions. Our method does not make assumptions about the scene; it solely relies on feature detection and utilizes the structures visible in a 3D light field to limit the search range of traditional view synthesis methods. A visual comparison between a standard plane sweep, a depth-aware plane sweep and our method is provided, showing that our method provides more accurate results in most cases.-
dc.language.isoen-
dc.publisherIEEE-
dc.relation.ispartofseries3DTV Conference-
dc.rights© 2015 IEEE-
dc.subject.othersoccer; view synthesis; disparity maps; epipolar plane image; plane sweep; light fields-
dc.titleMulti-Camera Epipolar Plane Image Feature Detection for Robust View Synthesis-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateJuly 8-10, 2015-
local.bibliographicCitation.conferencename3DTV Conference-
local.bibliographicCitation.conferenceplaceLisbon, Portugal-
dc.identifier.epage20-
dc.identifier.spage17-
local.format.pages4-
local.bibliographicCitation.jcatC1-
dc.description.notesJorissen, L (reprint author), Hasselt Univ, tUL, Expertise Ctr Digital Media, iMinds, Wetenschapspk 2, B-3590 Diepenbeek, Belgium.-
local.publisher.placeNew York, NY, USA-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1109/3DTV.2015.7169362-
dc.identifier.isi000380558600011-
local.bibliographicCitation.btitleProceedings of the 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)-
item.contributorJORISSEN, Lode-
item.contributorGOORTS, Patrik-
item.contributorROGMANS, Sammy-
item.contributorLAFRUIT, Gauthier-
item.contributorBEKAERT, Philippe-
item.fullcitationJORISSEN, Lode; GOORTS, Patrik; ROGMANS, Sammy; LAFRUIT, Gauthier & BEKAERT, Philippe (2015) Multi-Camera Epipolar Plane Image Feature Detection for Robust View Synthesis. In: Proceedings of the 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON), p. 17-20..-
item.accessRightsRestricted Access-
item.fulltextWith Fulltext-
item.validationecoom 2017-
Appears in Collections:Research publications
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