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Motion From 3D Line Correspondences: Linear and Non-Linear Solutions

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dc.contributor.authorBartoli, Adrien
dc.contributor.authorHartley, Richard
dc.contributor.authorKahl, Fredrik
dc.coverage.spatialMadison USA
dc.date.accessioned2015-12-13T23:08:16Z
dc.date.available2015-12-13T23:08:16Z
dc.date.createdJune 18 2003
dc.date.issued2003
dc.date.updated2015-12-12T08:12:50Z
dc.description.abstractWe address the problem of aligning two reconstructions of lines and cameras in projective, affine, metric or Euclidean space. We propose several 3D and image-related linear algorithms. The result can be used to initialize the non-linear minimization of several proposed error functions, as well as the maximum likelihood estimator that we derive. We evaluate and compare our algorithms to existing ones using simulated and real data.
dc.identifier.isbn1063-6919
dc.identifier.urihttp://hdl.handle.net/1885/86597
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesComputer Vision and Pattern Recognition Conference (CVPR 2003)
dc.sourceProceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2003
dc.subjectKeywords: Algorithms; Cameras; Computer simulation; Error analysis; Image reconstruction; Least squares approximations; Linear systems; Matrix algebra; Maximum likelihood estimation; Motion estimation; Nonlinear systems; Linear algorithm; Nonlinear estimator; Three
dc.titleMotion From 3D Line Correspondences: Linear and Non-Linear Solutions
dc.typeConference paper
local.bibliographicCitation.lastpage484
local.bibliographicCitation.startpage477
local.contributor.affiliationBartoli, Adrien, Institut National de Recherche en Informatique et en Automatique (INRIA)
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.contributor.affiliationKahl, Fredrik , Lund University
local.contributor.authoruidHartley, Richard, u4022238
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationMigratedxPub15511
local.identifier.scopusID2-s2.0-14044249842
local.type.statusPublished Version

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