A Unified Contour-Pixel Model for figure-ground Segmentation

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dc.contributor.authorPacker, Ben
dc.contributor.authorGould, Stephen
dc.contributor.authorKoller, Daphne
dc.coverage.spatialHeraklion Greece
dc.date.accessioned2015-12-10T22:44:18Z
dc.date.createdSeptember 5-11 2010
dc.date.issued2010
dc.date.updated2015-12-09T11:21:07Z
dc.description.abstractThe goal of this paper is to provide an accurate pixel-level segmentation of a deformable foreground object in an image. We combine state-of-the-art local image segmentation techniques with a global object-specific contour model to form a coherent energy
dc.identifier.isbn9783642155543
dc.identifier.urihttp://hdl.handle.net/1885/58544
dc.publisherSpringer
dc.relation.ispartofseriesEuropean Conference on Computer Vision (ECCV 2010)
dc.sourceProceedings of the European Conference on Computer Vision (ECCV 2010)
dc.titleA Unified Contour-Pixel Model for figure-ground Segmentation
dc.typeConference paper
local.bibliographicCitation.lastpage351
local.bibliographicCitation.startpage338
local.contributor.affiliationPacker, Ben, Stanford University
local.contributor.affiliationGould, Stephen, College of Engineering and Computer Science, ANU
local.contributor.affiliationKoller, Daphne, Stanford University
local.contributor.authoremailu4971180@anu.edu.au
local.contributor.authoruidGould, Stephen, u4971180
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationU3594520xPUB447
local.identifier.doi10.1007/978-3-642-15555-0_25
local.identifier.scopusID2-s2.0-78149333141
local.identifier.uidSubmittedByU3594520
local.type.statusPublished Version

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