Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/29518
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dc.contributor.authorVan Den Hengel, A.-
dc.contributor.authorHill, R.-
dc.contributor.authorBrooks, M.-
dc.contributor.editorTorres, L.-
dc.date.issued2003-
dc.identifier.citationProceedingsof the 2003 International Conference on Image Processing, Volume 1, 14-17 Sept 2003:pp.817-820-
dc.identifier.isbn0780377516-
dc.identifier.issn1522-4880-
dc.identifier.urihttp://hdl.handle.net/2440/29518-
dc.descriptionCopyright © 2003 IEEE-
dc.description.abstractCamera calibration requires the identification of points in an image that correspond to known locations in the scene. These are typically determined through the use of a calibration pattern designed to facilitate feature localisation. We present in this paper a novel method of generating patterns such that each subregion is individually identifiable by its cross ratio. The method aims to minimise the probability of misidentifying a subregion. A key advantage of the method is the ability to place constraints on the size of the elements constituting the pattern. This allows a calibration object to be used in a wider variety of viewing conditions, increasing the flexibility of the calibration process.-
dc.description.statementofresponsibilityvan den Hengel, A.; Hill, R.; Brooks, M.J.-
dc.language.isoen-
dc.publisherIEEE-
dc.relation.ispartofseriesIEEE International Conference on Image Processing ICIP-
dc.source.urihttp://dx.doi.org/10.1109/icip.2003.1247087-
dc.titleIncorporating constraints into the design of locally identifiable calibration patterns-
dc.typeConference paper-
dc.contributor.conferenceIEEE International Conference on Image Processing (2003 : Barcelona, Spain)-
dc.identifier.doi10.1109/ICIP.2003.1247087-
dc.publisher.placeCDROM-
pubs.publication-statusPublished-
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]-
Appears in Collections:Aurora harvest 6
Australian Institute for Machine Learning publications
Computer Science publications

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