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Regular polygon detection

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dc.contributor.authorBarnes, Nick
dc.contributor.authorLoy, Gareth
dc.contributor.authorShaw, David
dc.contributor.authorRobles-Kelly, Antonio
dc.coverage.spatialBeijing China
dc.date.accessioned2015-12-13T22:58:52Z
dc.date.createdOctober 15 2005
dc.date.issued2005
dc.date.updated2015-12-12T07:25:04Z
dc.description.abstractThis paper describes a new robust regular polygon detector. The regular polygon transform is posed as a mixture of regular polygons in a five dimensional space. Given the edge structure of an image, we derive the a posteriori probability for a mixture of
dc.identifier.isbn1550-5499
dc.identifier.urihttp://hdl.handle.net/1885/83491
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Conference on Computer Vision (ICCV 2005)
dc.sourceProceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05)
dc.source.urihttp://research.microsoft.com/iccv2005/
dc.subjectKeywords: Edge structure; Five dimensional space; Polygons; Robust regular polygon; Acoustic noise; Algorithms; Hough transforms; Information analysis; Stability; Three dimensional; Probability density function
dc.titleRegular polygon detection
dc.typeConference paper
local.bibliographicCitation.lastpage785
local.bibliographicCitation.startpage778
local.contributor.affiliationBarnes, Nick, College of Engineering and Computer Science, ANU
local.contributor.affiliationLoy, Gareth, Royal Institute of Technology
local.contributor.affiliationShaw, David, College of Engineering and Computer Science, ANU
local.contributor.affiliationRobles-Kelly, Antonio, College of Engineering and Computer Science, ANU
local.contributor.authoruidBarnes, Nick, a176407
local.contributor.authoruidShaw, David, a144590
local.contributor.authoruidRobles-Kelly, Antonio, u1811090
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationMigratedxPub11772
local.identifier.doi10.1109/ICCV.2005.207
local.identifier.scopusID2-s2.0-33745950114
local.type.statusPublished Version

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