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Minimal Solutions for Panoramic Stitching

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Brown, Matthew; Hartley, Richard; Nister, David

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This paper presents minimal solutions for the geometric parameters of a camera rotating about its optical centre. In particular we present new 2 and 3 point solutions for the homography induced by a rotation with 1 and 2 unknown focal length parameters. Using tests on real data, we show that these algorithms outperform the standard 4 point linear homography solution in terms of accuracy of focal length estimation and image based projection errors.

dc.contributor.authorBrown, Matthew
dc.contributor.authorHartley, Richard
dc.contributor.authorNister, David
dc.coverage.spatialMinneapolis USA
dc.date.accessioned2015-12-08T22:19:28Z
dc.date.createdJune 18-23 2007
dc.identifier.isbn1424411807
dc.identifier.urihttp://hdl.handle.net/1885/31574
dc.description.abstractThis paper presents minimal solutions for the geometric parameters of a camera rotating about its optical centre. In particular we present new 2 and 3 point solutions for the homography induced by a rotation with 1 and 2 unknown focal length parameters. Using tests on real data, we show that these algorithms outperform the standard 4 point linear homography solution in terms of accuracy of focal length estimation and image based projection errors.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesComputer Vision and Pattern Recognition Conference (CVPR 2007)
dc.sourceProceedings of the Computer Vision and Pattern Recognition Conference (CVPR 2007)
dc.source.urihttp://cvpr.cv.ri.cmu.edu/
dc.subjectKeywords: Algorithms; Error analysis; Linear systems; Parameter estimation; Focal length estimation; Panoramic stitching; Projection errors; Imaging systems
dc.titleMinimal Solutions for Panoramic Stitching
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2007
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu4334215xPUB84
local.type.statusPublished Version
local.contributor.affiliationBrown, Matthew, Microsoft Research
local.contributor.affiliationHartley, Richard, College of Engineering and Computer Science, ANU
local.contributor.affiliationNister, David, Microsoft Research
local.description.embargo2037-12-31
local.bibliographicCitation.startpage8
local.identifier.doi10.1109/CVPR.2007.383082
dc.date.updated2015-12-08T08:22:23Z
local.identifier.scopusID2-s2.0-34948824390
CollectionsANU Research Publications

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