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1-point rigid motion estimation and segmentation with a RGB-D camera

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dc.contributor.authorPerera, Kukulage (Samunda)
dc.contributor.authorBarnes, Nick
dc.coverage.spatialHobart Australia
dc.date.accessioned2015-12-13T22:55:33Z
dc.date.createdNovember 26-28 2013
dc.date.issued2013
dc.date.updated2015-12-11T11:11:06Z
dc.description.abstractRGB-D cameras like Microsoft Kinect that provide color and dense depth images have now become commonplace. We consider the problem of estimation and segmentation of multiple rigid body motions observed by such a camera. On the basis of differential geomet
dc.format.extent8 pagesen_AU
dc.identifier.isbn9781479921263
dc.identifier.urihttp://hdl.handle.net/1885/82576
dc.publisherConference Organising Committee
dc.relation.ispartofseries2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013
dc.source2013 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013
dc.title1-point rigid motion estimation and segmentation with a RGB-D camera
dc.typeConference paper
dcterms.accessRightsOpen Accessen_AU
local.contributor.affiliationPerera, Kukulage (Samunda), College of Engineering and Computer Science, ANU
local.contributor.affiliationBarnes, Nick, College of Engineering and Computer Science, ANU
local.contributor.authoruidPerera, Kukulage (Samunda), u4773848
local.contributor.authoruidBarnes, Nick, a176407
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationf5625xPUB10830
local.identifier.doi10.1109/DICTA.2013.6691469
local.identifier.scopusID2-s2.0-84893265342
local.type.statusAccepted Version

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