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dc.contributor.authorPalou Visa, Guillem
dc.contributor.authorSalembier Clairon, Philippe Jean
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2013-05-15T15:11:26Z
dc.date.created2012
dc.date.issued2012
dc.identifier.citationPalou, G.; Salembier, P. Depth estimation of frames in image sequences using motion occlusions. A: European Conference on Computer Vision. "Computer Vision – ECCV 2012. Workshops and Demonstrations". Florència: Springer, 2012, p. 516-525.
dc.identifier.isbn978-3-642-33884-7
dc.identifier.urihttp://hdl.handle.net/2117/19261
dc.description.abstractThis paper proposes a system to depth order regions of a frame belonging to a monocular image sequence. For a given frame, re- gions are ordered according to their relative depth using the previous and following frames. The algorithm estimates occluded and disoccluded pixels belonging to the central frame. Afterwards, a Binary Partition Tree (BPT) is constructed to obtain a hierarchical, region based repre- sentation of the image. The nal depth partition is obtained by means of energy minimization on the BPT. To achieve a global depth ordering from local occlusion cues, a depth order graph is constructed and used to eliminate contradictory local cues. Results of the system are evaluated and compared with state of the art gure/ground labeling systems on several datasets, showing promising results.
dc.format.extent10 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject.lcshImage processing
dc.subject.lcshVision, Monocular
dc.subject.otherBinary partition Tree
dc.subject.otherData sets
dc.subject.otherDepth Estimation
dc.subject.otherEnergy minimization
dc.subject.otherImage sequence
dc.subject.otherMonocular image sequence
dc.subject.otherOrder graph
dc.subject.otherRegion-based
dc.subject.otherState of the art
dc.titleDepth estimation of frames in image sequences using motion occlusions
dc.typeConference report
dc.subject.lemacVisió monocular
dc.subject.lemacImatge -- Processament
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1007/978-3-642-33885-4_52
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11075197
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorPalou, G.; Salembier, P.
local.citation.contributorEuropean Conference on Computer Vision
local.citation.pubplaceFlorència
local.citation.publicationNameComputer Vision – ECCV 2012. Workshops and Demonstrations
local.citation.startingPage516
local.citation.endingPage525


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