The 3D-3D registration problem revisited

dc.contributor.authorLi, Hongdongen
dc.contributor.authorHartley, Richarden
dc.date.accessioned2025-12-17T16:41:02Z
dc.date.available2025-12-17T16:41:02Z
dc.date.issued2007en
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.en
dc.description.statusPeer-revieweden
dc.identifier.otherORCID:/0000-0003-4125-1554/work/163239721en
dc.identifier.scopus50649103521en
dc.identifier.urihttps://hdl.handle.net/1885/733796200
dc.language.isoenen
dc.relation.ispartofseries2007 IEEE 11th International Conference on Computer Vision, ICCVen
dc.titleThe 3D-3D registration problem revisiteden
dc.typeConference paperen
dspace.entity.typePublicationen
local.contributor.affiliationLi, Hongdong; School of Engineering, ANU College of Systems and Society, The Australian National Universityen
local.contributor.affiliationHartley, Richard; School of Engineering, ANU College of Systems and Society, The Australian National Universityen
local.identifier.ariespublicationu4334215xPUB41en
local.identifier.doi10.1109/ICCV.2007.4409077en
local.identifier.pure1b02976e-f6ea-443f-a8ca-c452ddf9d35den
local.identifier.urlhttps://www.scopus.com/pages/publications/50649103521en
local.type.statusPublisheden

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