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https://hdl.handle.net/2440/29515
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DC Field | Value | Language |
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dc.contributor.author | Bastian, J. | - |
dc.contributor.author | Van Den Hengel, A. | - |
dc.contributor.editor | Sun, C. | - |
dc.contributor.editor | Talbot, H. | - |
dc.contributor.editor | Ourselin, S. | - |
dc.contributor.editor | Adriaansen, T. | - |
dc.date.issued | 2003 | - |
dc.identifier.citation | Digital 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.), pp. 663-672 | - |
dc.identifier.isbn | 064309041X | - |
dc.identifier.uri | http://hdl.handle.net/2440/29515 | - |
dc.description.abstract | This paper describes a novel approach to the problem of recovering information from an image set by comparing the radiance of hypothesised point correspondences. This method is applicable to a number of problems in computer vision, but is explained particularly in terms of recovering geometry and camera parameters from image sets. The algorithm employs a cost-function to represent the probability that a hypothesised scene description and camera parameters generated the reference images and is characterised by its ability to execute on graphics hardware. Experiments show that minimisation of the cost-function converges to a valid solution provided there are adequate geometric constraints and projective coverage. | - |
dc.description.statementofresponsibility | John Bastian and Anton van den Hengel | - |
dc.description.uri | http://trove.nla.gov.au/work/9684841 | - |
dc.language.iso | en | - |
dc.publisher | CSIRO | - |
dc.title | Computing image-based reprojection error on graphics hardware | - |
dc.type | Conference paper | - |
dc.contributor.conference | Australian Pattern Recognition Society. Conference (7th : 2003 : Sydney, N.S.W.) | - |
dc.publisher.place | Australia | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Van Den Hengel, A. [0000-0003-3027-8364] | - |
Appears in Collections: | Aurora harvest 2 Computer Science publications |
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