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dc.contributor.authorWerner, Tomáš
dc.contributor.authorZisserman, Andrew
dc.date.accessioned2014-11-27T08:41:58Z
dc.date.available2014-11-27T08:41:58Z
dc.date.issued2002-09
dc.identifier.citationWERNER, T. - ZISSERMAN, A.: Model Selection for Automated Architectural Reconstruction from Multiple Views. In Proceedings of the British Machine Vision Conference. London: British Machine Vision Association, 2002, p. 53-62. ISBN 1-901725-19-7. DOI: 10.5244/C.16.3cze
dc.identifier.isbn1-901725-19-7
dc.identifier.urihttp://hdl.handle.net/10467/60903
dc.description.abstractWe describe progress in automatically fitting a plane plus modelled perturbation surface model to represent architectural scenes. There are two areas of novelty. The first is a method of fitting parametrized models in which the cost function is based on a combination of disparity and gradient extrema, both computed over multiple views. The second is the use of an evaluation criteria for model selection, learnt from training examples. We demonstrate the method on reconstructions of several college scenes from multiple images.cze
dc.language.isoencze
dc.publisherBritish Machine Vision Conference (BMVC)cze
dc.subjectResearch Subject Categories::TECHNOLOGY::Electrical engineering, electronics and photonicscze
dc.titleModel Selection for Automated Architectural Reconstruction from Multiple Viewscze
dc.typeArticlecze
dc.identifier.doihttp://dx.doi.org/10.5244/C.16.3


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