Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/29499
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dc.contributor.authorVan Den Hengel, A.en
dc.contributor.authorChojnacki, W.en
dc.contributor.authorBrooks, M.en
dc.contributor.authorGawley, D.en
dc.date.issued2002en
dc.identifier.citationBMVC 2002 : proceedings of the 13th British Machine Vision Conference : 2nd-5th September 2002, Cardiff University / Paul L. Rosin, David Marshall (eds.), pp. 468-476en
dc.identifier.isbn1901725197en
dc.identifier.urihttp://hdl.handle.net/2440/29499-
dc.description© BMVA 2002en
dc.description.abstractIn recent work the authors proposed a wide-ranging method for estimating parameters that constrain image feature locations and satisfy a constraint not involving image data. The present work illustrates the use of the method with experiments concerning estimation of the fundamental matrix. Results are given for both synthetic and real images. It is demonstrated that the method gives results commensurate with, or superior to, previous approaches, with the advantage of being faster than comparable methods.en
dc.language.isoenen
dc.publisherBMVAen
dc.source.urihttp://www.bmva.ac.uk/bmvc/2002/papers/176/full_176.pdfen
dc.titleA new constrained parameter estimator: experiments in fundamental matrix computationen
dc.typeConference paperen
dc.identifier.rmid0020021422en
dc.contributor.conferenceBritish Machine Vision Conference (13th : 2002 : Cardiff University)en
dc.publisher.placeUKen
dc.identifier.pubid59828-
pubs.library.collectionComputer Science publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
Appears in Collections:Computer Science publications

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