Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/44937
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dc.contributor.authorPooley, D.en
dc.contributor.authorBrooks, M.en
dc.contributor.authorVan Den Hengel, A.en
dc.date.issued2007en
dc.identifier.citationProceedings of DICTA 2007 / pp.294-300en
dc.identifier.isbn0769530672en
dc.identifier.isbn9780769530673en
dc.identifier.urihttp://hdl.handle.net/2440/44937-
dc.description.abstractA new method for robust estimation is introduced. The presented algorithm seeks to unify adjustable per-iteration speedup methods with an adaptive assumption regarding the number of inliers. This is achieved by assuming a prior distribution on the true number of inliers, and using Bayesian inference to adjust the speedup whenever a best-so-far model estimate is found. Convincing results are obtained for both synthetic and real cases of the robust synchronisation of video pairs generated by independently moving cameras.en
dc.description.statementofresponsibilityPooley, Daniel, Brooks, Michael and Hengel, Anton van denen
dc.language.isoenen
dc.publisherIEEEen
dc.rights© 2008 IEEE – All Rights Reserveden
dc.titleRATSAC: An adaptive method for accelerated robust estimation and its application to video synchronisationen
dc.typeConference paperen
dc.identifier.rmid0020076183en
dc.contributor.conferenceBiennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (9th : 2007 : Glenelg, Australia)en
dc.identifier.doi10.1109/DICTA.2007.4426810en
dc.publisher.placeCDROMen
dc.identifier.pubid45119-
pubs.library.collectionComputer Science publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]en
Appears in Collections:Computer Science publications

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