| Multiview stereo via volumetric Graph-Cuts and occlusion robust photo-consistency. | |
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MedLine Citation:
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PMID: 17934232 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This paper presents a volumetric formulation for the multi-view stereo problem which is amenable to a computationally tractable global optimisation using Graph-cuts. Our approach is to seek the optimal partitioning of 3D space into two regions labelled as "object" and "empty" under a cost functional consisting of the following two terms: (1) A term that forces the boundary between the two regions to pass through photo-consistent locations and (2) a ballooning term that inflates the "object" region. To take account of the effect of occlusion on the first term we use an occlusion robust photo-consistency metric based on Normalised Cross Correlation, which does not assume any geometric knowledge about the reconstructed object. The globally optimal 3D partitioning can be obtained as the minimum cut solution of a weighted graph. |
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Authors:
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George Vogiatzis; Carlos Hernández Esteban; Philip H S Torr; Roberto Cipolla |
Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: IEEE transactions on pattern analysis and machine intelligence Volume: 29 ISSN: 0162-8828 ISO Abbreviation: IEEE Trans Pattern Anal Mach Intell Publication Date: 2007 Dec |
Date Detail:
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Created Date: 2007-10-15 Completed Date: 2007-12-18 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9885960 Medline TA: IEEE Trans Pattern Anal Mach Intell Country: United States |
Other Details:
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Languages: eng Pagination: 2241-6 Citation Subset: IM |
Affiliation:
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Toshiba Research Europe Ltd., Cambridge, UK. george.vogiatzis@crl.toshiba.co.uk |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Artificial Intelligence* Image Enhancement / methods* Image Interpretation, Computer-Assisted / methods* Imaging, Three-Dimensional / methods* Pattern Recognition, Automated / methods* Photogrammetry / methods* Reproducibility of Results Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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