FNS, CFNS, and HEIV: extending three vision parameter estimation methods

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dc.contributor.authorChojnacki, W.
dc.contributor.authorBrooks, M.
dc.contributor.authorVan Den Hengel, A.
dc.contributor.authorGawley, D.
dc.contributor.conferenceBiennial Australian Pattern Recognition Society Conference (7th : 2003 : Sydney, NSW.)
dc.contributor.editorSun, C.
dc.contributor.editorTalbot, H.
dc.contributor.editorOurselin, S.
dc.contributor.editorAdriaansen, T.
dc.date.issued2003
dc.description.abstractEstimation of parameters from image tokens is a central problem in computer vision. FNS, CFNS and HEIV are three recently developed methods for solving special but important cases of this problem. The schemes are means for finding unconstrained (FNS, HEIV) and constrained (CFNS) minimisers of cost functions. In earlier work of the authors, FNS, CFNS and a version of HEIV were applied to a specific cost function. Here we outline an extension of the approach to more general cost functions. This allows the FNS, CFNS and HEIV methods to be placed within a common framework.
dc.description.statementofresponsibilityWojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, and Darren Gawley
dc.description.urihttp://www.sigmod.org/dblp/db/conf/dicta/dicta2003.html
dc.identifier.citationDigital image computing : techniques and applications ; proceedings of the VIIth Biennial Australian Pattern Recognition Society Conference, DICTA 2003 / C. Sun, H. Talbot, S. Ourselin and T. Adriaansen (eds.), vol. 1, pp. 449-458
dc.identifier.isbn0643090398
dc.identifier.orcidChojnacki, W. [0000-0001-7782-1956]
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]
dc.identifier.urihttp://hdl.handle.net/2440/29524
dc.language.isoen
dc.publisherCSIRO Publishing
dc.publisher.placeVictoria, Australia
dc.source.urihttp://www.cmis.csiro.au/Hugues.Talbot/dicta2003/cdrom/pdf/0449.pdf
dc.titleFNS, CFNS, and HEIV: extending three vision parameter estimation methods
dc.typeConference paper
pubs.publication-statusPublished

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