A comparison of ellipse fitting methods and implications for multiple-view geometry estimation

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dc.contributor.authorSzpak, Z.
dc.contributor.authorChojnacki, W.
dc.contributor.authorVan Den Hengel, A.
dc.contributor.conferenceInternational Conference on Digital Image Computing Techniques and Applications (2012 : Fremantle)
dc.date.issued2012
dc.description.abstractAfter summarising the conceptual relationship between some old and new techniques for fitting ellipses to data, we conduct a thorough experimental comparison of the discussed methods. The newer techniques promise consistency, unbiasedness, or hyper-accuracy, but our experiments reveal that in practice the performance of these estimators is difficult to distinguish from the performance of established estimators. Since the newer techniques could potentially be extended to other estimation problems, we discuss what implications our experimental findings have for solving more general multipleview geometry estimation problems.
dc.description.statementofresponsibilityZygmunt L. Szpak, Wojciech Chojnacki and Anton van den Hengel
dc.identifier.citationProceedings of the International Conference on Digital Image Computing Techniques and Applications, held in Fremantle, 3-5 December, 2012: pp.1-8
dc.identifier.doi10.1109/DICTA.2012.6411722
dc.identifier.isbn9781467321792
dc.identifier.orcidSzpak, Z. [0000-0002-0694-4622]
dc.identifier.orcidChojnacki, W. [0000-0001-7782-1956]
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]
dc.identifier.urihttp://hdl.handle.net/2440/77216
dc.language.isoen
dc.publisherIEEE
dc.publisher.placeUSA
dc.rights© 2012 IEEE
dc.source.urihttps://doi.org/10.1109/dicta.2012.6411722
dc.subjectApproximation methods
dc.subjectcost function
dc.subjectequations
dc.subjectmaximum likelilhood estimation
dc.subjectshape
dc.subjecttraining
dc.titleA comparison of ellipse fitting methods and implications for multiple-view geometry estimation
dc.typeConference paper
pubs.publication-statusPublished

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