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https://hdl.handle.net/2440/36019
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DC Field | Value | Language |
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dc.contributor.author | Van Den Hengel, A. | - |
dc.contributor.author | Dick, A. | - |
dc.contributor.author | Thormaehlen, T. | - |
dc.contributor.author | Ward, B. | - |
dc.contributor.author | Torr, P. | - |
dc.contributor.editor | Chandler, M. | - |
dc.contributor.editor | Trucco, E. | - |
dc.contributor.editor | Fisher, R. | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | British Machine Vision Conference 2006 [electronic resource] / M.J. Chantler, E. Trucco & R.B. Fisher (eds.), vol I, pp. www1-9 | - |
dc.identifier.isbn | 1904410146 | - |
dc.identifier.uri | http://hdl.handle.net/2440/36019 | - |
dc.description.abstract | This paper describes a method for generating a model-based reconstruction of a scene from image data. The method uses the camera models and point cloud typically generated by a structure-and-motion process as a starting point for developing a higher level model of the scene. The method relies on the user to provide a minimal amount of structural seeding information from which more complex geometry is extrapolated. The regularity typically present in man-made environments is used to minimise the interaction required, but also to improve the accuracy of fit. We demonstrate model based reconstructions obtained using this method. | - |
dc.description.statementofresponsibility | A. van den Hengel, A. Dick, T. Thormaehlen, P. Torr and B. Ward | - |
dc.description.uri | http://www.bmva.ac.uk/bmvc/2006/index.html | - |
dc.language.iso | en | - |
dc.publisher | BMVA | - |
dc.source.uri | http://www.bmva.ac.uk/bmvc/2006/papers/300.pdf | - |
dc.title | Building models of regular scenes from structure-and-motion | - |
dc.type | Conference paper | - |
dc.contributor.conference | British Machine Vision Conference (17th : 2006 : Edinburgh) | - |
dc.publisher.place | CDROM | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Van Den Hengel, A. [0000-0003-3027-8364] | - |
dc.identifier.orcid | Dick, A. [0000-0001-9049-7345] | - |
Appears in Collections: | Aurora harvest Computer Science publications |
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