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3D Model Assisted Image Segmentation

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dc.contributor.authorJayawardena, Srimal
dc.contributor.authorYang, Di
dc.contributor.authorHutter, Marcus
dc.coverage.spatialNoosa Australia
dc.date.accessioned2015-12-08T22:48:14Z
dc.date.createdDecember 6-8 2011
dc.date.issued2011
dc.date.updated2016-02-24T11:30:06Z
dc.description.abstractThe problem of segmenting a given image into coherent regions is important in Computer Vision and many industrial applications require segmenting a known object into its components. Examples include identifying individual parts of a component for process
dc.identifier.isbn9780769545882
dc.identifier.urihttp://hdl.handle.net/1885/38254
dc.publisherIEEE Communications Society
dc.relation.ispartofseriesDigital Image Computing: Techniques and Applications (DICTA 2011)
dc.rightsCopyright Information: © 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purpos
dc.sourceA Novel Illumination-Invariant Loss for Monocular 3D Pose Estimation
dc.subjectKeywords: 3D models; 3D-2D Registration; Gradient based; Image segmentation algorithm; Level sets; Loss functions; Manufacturing plant; Monocular; Non-trivial tasks; User interaction; Damage detection; Image segmentation; Industrial applications; Photography; Three 3D Model; 3D-2D Registration; Image segmentation; Monocular
dc.title3D Model Assisted Image Segmentation
dc.typeConference paper
dcterms.accessRightsOpen Access
local.bibliographicCitation.lastpage58
local.bibliographicCitation.startpage51
local.contributor.affiliationJayawardena, Srimal, College of Engineering and Computer Science, ANU
local.contributor.affiliationYang, Di, College of Engineering and Computer Science, ANU
local.contributor.affiliationHutter, Marcus, College of Engineering and Computer Science, ANU
local.contributor.authoruidJayawardena, Srimal, u4588543
local.contributor.authoruidYang, Di, u4476533
local.contributor.authoruidHutter, Marcus, u4350841
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080101 - Adaptive Agents and Intelligent Robotics
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4963866xPUB159
local.identifier.doi10.1109/DICTA.2011.17
local.identifier.scopusID2-s2.0-84857027432
local.type.statusAccepted Version

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