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Simultaneous Multi-class Pixel Labeling over Coherent Image Sets

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dc.contributor.authorRivera, Paul
dc.contributor.authorGould, Stephen
dc.coverage.spatialNoosa Australia
dc.date.accessioned2015-12-10T21:56:36Z
dc.date.createdDecember 6-8 2011
dc.date.issued2011
dc.date.updated2016-02-24T11:30:11Z
dc.description.abstractMulti-class pixel labeling is an important problem in computer vision that has many diverse applications, including interactive image segmentation, semantic and geometric scene understanding, and stereo reconstruction. Current state-of-the-art approaches
dc.identifier.isbn9780769545882
dc.identifier.urihttp://hdl.handle.net/1885/39504
dc.publisherIEEE Communications Society
dc.relation.ispartofseriesDigital Image Computing: Techniques and Applications (DICTA 2011)
dc.sourceA Novel Illumination-Invariant Loss for Monocular 3D Pose Estimation
dc.subjectKeywords: Baseline models; Coherent images; Contextual information; Data sets; Diverse applications; Interactive image segmentation; markov random field; Multi-class; Scene understanding; Semi-supervised; State-of-the-art approach; Stereo reconstruction; Test sets; image segmentation; markov random field; pixel labeling
dc.titleSimultaneous Multi-class Pixel Labeling over Coherent Image Sets
dc.typeConference paper
local.bibliographicCitation.startpage8
local.contributor.affiliationRivera, Paul, College of Engineering and Computer Science, ANU
local.contributor.affiliationGould, Stephen, College of Engineering and Computer Science, ANU
local.contributor.authoruidRivera, Paul, u4709200
local.contributor.authoruidGould, Stephen, u4971180
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4963866xPUB178
local.identifier.doi10.1109/DICTA.2011.24
local.identifier.scopusID2-s2.0-84857001047
local.type.statusPublished Version

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