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Five-Point Motion Estimation Made Easy

Li, Hongdong; Hartley, Richard

Description

Estimating relative camera motion from two calibrated views is a classical problem in computer vision. The minimal case for such problem is the so-called five-point problem, for which the state-of-the-art solution is Nistér's algorithm [1][2]. However, d

dc.contributor.authorLi, Hongdong
dc.contributor.authorHartley, Richard
dc.coverage.spatialHong Kong
dc.date.accessioned2015-12-13T23:04:06Z
dc.date.createdAugust 20-24 2006
dc.identifier.isbn0769525210
dc.identifier.urihttp://hdl.handle.net/1885/85221
dc.description.abstractEstimating relative camera motion from two calibrated views is a classical problem in computer vision. The minimal case for such problem is the so-called five-point problem, for which the state-of-the-art solution is Nistér's algorithm [1][2]. However, d
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesInternational Conference on Pattern Recognition (ICPR 2006)
dc.sourceProceedings of the 18th International Conference on Pattern Recognition
dc.source.urihttp://ieeexplore.ieee.org/iel5/11159/35817/01698811.pdf?isnumber=35817&prod=CNF&http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=35817&isYear=2006
dc.subjectKeywords: Camera motion; Five-point problem; Algorithms; Cameras; Computer vision; Difference equations; Problem solving; Vectors; Motion estimation
dc.titleFive-Point Motion Estimation Made Easy
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2006
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationMigratedxPub13507
local.type.statusPublished Version
local.contributor.affiliationLi, Hongdong, College of Engineering and Computer Science, ANU
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage630
local.bibliographicCitation.lastpage633
local.identifier.doi10.1109/ICPR.2006.579
dc.date.updated2015-12-12T07:53:33Z
local.identifier.scopusID2-s2.0-34047221178
CollectionsANU Research Publications

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