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Estimation of the epipole using optical flow at antipodal points

Lim, John; Barnes, Nick

Description

We present algorithms for estimating the epipole or direction of translation of a moving camera. We use constraints arising from two points that are antipodal on the image sphere in order to decouple rotation from translation. One pair of antipodal points constrains the epipole to lie on a plane, and two such pairs will correspondingly give two planes. The intersection of these two planes is an estimate of the epipole. This means we require image motion measurements at two pairs of antipodal...[Show more]

dc.contributor.authorLim, John
dc.contributor.authorBarnes, Nick
dc.date.accessioned2015-12-10T22:59:29Z
dc.identifier.issn1077-3142
dc.identifier.urihttp://hdl.handle.net/1885/61104
dc.description.abstractWe present algorithms for estimating the epipole or direction of translation of a moving camera. We use constraints arising from two points that are antipodal on the image sphere in order to decouple rotation from translation. One pair of antipodal points constrains the epipole to lie on a plane, and two such pairs will correspondingly give two planes. The intersection of these two planes is an estimate of the epipole. This means we require image motion measurements at two pairs of antipodal points to obtain an estimate. Two classes of algorithms are possible and we present two simple yet extremely robust algorithms representative of each class. These are shown to have comparable accuracy with the state of the art when tested in simulation under noise and with real image sequences.
dc.publisherAcademic Press
dc.sourceComputer Vision and Image Understanding
dc.subjectKeywords: A-plane; Antipodal points; Ego-motion estimation; Epipole; Image motion; Moving cameras; Multi-view geometry; Omnidirectional cameras; Real image sequences; Robust algorithm; State of the art; Two-point; Cameras; Optical flows; Video cameras; Estimation Egomotion estimation; Multi-view Geometry; Omnidirectional cameras
dc.titleEstimation of the epipole using optical flow at antipodal points
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume114
dc.date.issued2010
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu4334215xPUB587
local.type.statusPublished Version
local.contributor.affiliationLim, John, College of Engineering and Computer Science, ANU
local.contributor.affiliationBarnes, Nick, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage245
local.bibliographicCitation.lastpage253
local.identifier.doi10.1016/j.cviu.2009.04.005
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
dc.date.updated2016-02-24T11:02:08Z
local.identifier.scopusID2-s2.0-74449086852
CollectionsANU Research Publications

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