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dc.contributor.authorChojnacki, W.en
dc.contributor.authorBrooks, M.en
dc.contributor.authorVan Den Hengel, A.en
dc.contributor.authorGawley, D.en
dc.identifier.citationProceedings, 12th International Conference on Image Analysis and Processing : Mantova, Italy, September 17 to 19, 2003 / pp. 152-157en
dc.description©2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
dc.description.abstractProblems requiring accurate determination of parameters from image-based quantities arise often in computer vision. Two recent, independently developed frameworks for estimating such parameters are the FNS and HEIV schemes. Here it is shown that FNS and a core version of HEIV are essentially equivalent, solving a common underlying equation via different means. The analysis is driven by the search for a non-degenerate form of a certain generalised eigen-value problem, and effectively leads to a new derivation of the relevant case of the HEIV algorithm. This work may be seen as an extension of previous efforts to rationalise and inter-relate a spectrum of estimators, including the renormalisation method of Kanatani and the normalised eight-point method of Hartley.en
dc.description.statementofresponsibilityWojciech Chojnacki, Michael J. Brooks, Anton van den Hengel, Darren Gawleyen
dc.titleFNS and HEIV: relating two vision parameter estimation frameworksen
dc.typeConference paperen
dc.contributor.conferenceInternational Conference on Image Analysis and Processing (12th : 2003 : Mantova, Italy)en
dc.publisher.placeCalifornia, USAen
pubs.library.collectionComputer Science publicationsen
dc.identifier.orcidChojnacki, W. [0000-0001-7782-1956]en
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]en
Appears in Collections:Computer Science publications

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