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The 3D-3D registration problem revisited

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dc.contributor.authorLi, Hongdong
dc.contributor.authorHartley, Richard
dc.coverage.spatialRio de Janeiro Brazil
dc.date.accessioned2015-12-07T22:46:46Z
dc.date.createdOctober 14-20 2007
dc.date.issued2007
dc.date.updated2015-12-07T11:45:44Z
dc.description.abstractWe describe a new framework for globally solving the 3D-3D registration problem with unknown point correspondences. This problem is significant as it is frequently encountered in many applications. Existing methods are not fully satisfactory, mainly due to the risk of local minima. Our framework is grounded on the Lipschitz global optimization theory. It achieves a guaranteed global optimality without any initialization. By exploiting the special structure of the problem itself and of the 3D rotation space SO(3), we propose a Box-and-Ball algorithm, which solves the problem efficiently. The main idea of the work can be applied to many other problems as well.
dc.identifier.urihttp://hdl.handle.net/1885/25916
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Conference on Computer Vision (ICCV 2007)
dc.sourceProceedings of ICCV 2007
dc.subjectKeywords: 3-D registration; International conferences; Computer networks; Computer vision; Image processing; Mathematical programming; Occupational risks; Site selection; Problem solving
dc.titleThe 3D-3D registration problem revisited
dc.typeConference paper
local.bibliographicCitation.startpage8
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, ANU
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.contributor.authoruidLi, Hongdong, u4056952
local.contributor.authoruidHartley, Richard, u4022238
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationu4334215xPUB41
local.identifier.doi10.1109/ICCV.2007.4409077
local.identifier.scopusID2-s2.0-50649103521
local.type.statusPublished Version

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