Decoupling Photometry and Geometry in Dense Variational Camera Calibration
| dc.contributor.author | Aubry, Mathieu | |
| dc.contributor.author | Kolev, Kalin | |
| dc.contributor.author | Goldlücke, Bastian | |
| dc.contributor.author | Cremers, Daniel | |
| dc.date.accessioned | 2014-10-08T09:35:40Z | |
| dc.date.available | 2014-10-08T09:35:40Z | |
| dc.date.issued | 2011 | eng |
| dc.description.abstract | We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and camera calibration. In both quantitative and qualitative experiments, we demonstrate that the proposed decoupling scheme allows for robust and accurate estimation of camera parameters. In particular, the presented dense camera calibration formulation leads to substantial improvements both in the reconstructed 3D geometry and in the super-resolution texture estimation. | eng |
| dc.description.version | published | |
| dc.identifier.doi | 10.1109/ICCV.2011.6126396 | eng |
| dc.identifier.uri | http://kops.uni-konstanz.de/handle/123456789/29094 | |
| dc.language.iso | eng | eng |
| dc.subject | calibration, cameras, geometry, image matching, image reconstruction, image resolution, image texture, photometry | eng |
| dc.subject.ddc | 004 | eng |
| dc.title | Decoupling Photometry and Geometry in Dense Variational Camera Calibration | eng |
| dc.type | INPROCEEDINGS | eng |
| dspace.entity.type | Publication | |
| kops.citation.bibtex | @inproceedings{Aubry2011Decou-29094,
year={2011},
doi={10.1109/ICCV.2011.6126396},
title={Decoupling Photometry and Geometry in Dense Variational Camera Calibration},
isbn={978-1-4577-1101-5},
publisher={IEEE},
address={Piscataway},
booktitle={IEEE International Conference on Computer Vision (ICCV), 2011 : 6 - 13 Nov. 2011, Barcelona, Spain},
pages={1411--1418},
author={Aubry, Mathieu and Kolev, Kalin and Goldlücke, Bastian and Cremers, Daniel}
} | |
| kops.citation.iso690 | AUBRY, Mathieu, Kalin KOLEV, Bastian GOLDLÜCKE, Daniel CREMERS, 2011. Decoupling Photometry and Geometry in Dense Variational Camera Calibration. IEE International Conference on Computer Vision. Barcelona, 3. Nov. 2011 - 13. Nov. 2011. In: IEEE International Conference on Computer Vision (ICCV), 2011 : 6 - 13 Nov. 2011, Barcelona, Spain. Piscataway: IEEE, 2011, pp. 1411-1418. ISBN 978-1-4577-1101-5. Available under: doi: 10.1109/ICCV.2011.6126396 | deu |
| kops.citation.iso690 | AUBRY, Mathieu, Kalin KOLEV, Bastian GOLDLÜCKE, Daniel CREMERS, 2011. Decoupling Photometry and Geometry in Dense Variational Camera Calibration. IEE International Conference on Computer Vision. Barcelona, Nov 3, 2011 - Nov 13, 2011. In: IEEE International Conference on Computer Vision (ICCV), 2011 : 6 - 13 Nov. 2011, Barcelona, Spain. Piscataway: IEEE, 2011, pp. 1411-1418. ISBN 978-1-4577-1101-5. Available under: doi: 10.1109/ICCV.2011.6126396 | eng |
| kops.citation.rdf | <rdf:RDF
xmlns:dcterms="http://purl.org/dc/terms/"
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:bibo="http://purl.org/ontology/bibo/"
xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
xmlns:foaf="http://xmlns.com/foaf/0.1/"
xmlns:void="http://rdfs.org/ns/void#"
xmlns:xsd="http://www.w3.org/2001/XMLSchema#" >
<rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/29094">
<dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:contributor>Cremers, Daniel</dc:contributor>
<dcterms:issued>2011</dcterms:issued>
<dc:language>eng</dc:language>
<bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/29094"/>
<dcterms:abstract xml:lang="eng">We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and camera calibration. In both quantitative and qualitative experiments, we demonstrate that the proposed decoupling scheme allows for robust and accurate estimation of camera parameters. In particular, the presented dense camera calibration formulation leads to substantial improvements both in the reconstructed 3D geometry and in the super-resolution texture estimation.</dcterms:abstract>
<dc:contributor>Aubry, Mathieu</dc:contributor>
<dcterms:title>Decoupling Photometry and Geometry in Dense Variational Camera Calibration</dcterms:title>
<dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-10-08T09:35:40Z</dcterms:available>
<dc:contributor>Goldlücke, Bastian</dc:contributor>
<dc:creator>Cremers, Daniel</dc:creator>
<dc:creator>Goldlücke, Bastian</dc:creator>
<dc:creator>Aubry, Mathieu</dc:creator>
<foaf:homepage rdf:resource="http://localhost:8080/"/>
<dc:creator>Kolev, Kalin</dc:creator>
<void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
<dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
<dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2014-10-08T09:35:40Z</dc:date>
<dc:contributor>Kolev, Kalin</dc:contributor>
</rdf:Description>
</rdf:RDF> | |
| kops.conferencefield | IEE International Conference on Computer Vision, 3. Nov. 2011 - 13. Nov. 2011, Barcelona | deu |
| kops.date.conferenceEnd | 2011-11-13 | eng |
| kops.date.conferenceStart | 2011-11-03 | eng |
| kops.flag.knbibliography | false | |
| kops.location.conference | Barcelona | eng |
| kops.sourcefield | <i>IEEE International Conference on Computer Vision (ICCV), 2011 : 6 - 13 Nov. 2011, Barcelona, Spain</i>. Piscataway: IEEE, 2011, pp. 1411-1418. ISBN 978-1-4577-1101-5. Available under: doi: 10.1109/ICCV.2011.6126396 | deu |
| kops.sourcefield.plain | IEEE International Conference on Computer Vision (ICCV), 2011 : 6 - 13 Nov. 2011, Barcelona, Spain. Piscataway: IEEE, 2011, pp. 1411-1418. ISBN 978-1-4577-1101-5. Available under: doi: 10.1109/ICCV.2011.6126396 | deu |
| kops.sourcefield.plain | IEEE International Conference on Computer Vision (ICCV), 2011 : 6 - 13 Nov. 2011, Barcelona, Spain. Piscataway: IEEE, 2011, pp. 1411-1418. ISBN 978-1-4577-1101-5. Available under: doi: 10.1109/ICCV.2011.6126396 | eng |
| kops.title.conference | IEE International Conference on Computer Vision | eng |
| relation.isAuthorOfPublication | c4ecb499-9c85-4481-832e-af061f18cbdc | |
| relation.isAuthorOfPublication.latestForDiscovery | c4ecb499-9c85-4481-832e-af061f18cbdc | |
| source.bibliographicInfo.fromPage | 1411 | eng |
| source.bibliographicInfo.toPage | 1418 | eng |
| source.identifier.isbn | 978-1-4577-1101-5 | eng |
| source.publisher | IEEE | eng |
| source.publisher.location | Piscataway | eng |
| source.title | IEEE International Conference on Computer Vision (ICCV), 2011 : 6 - 13 Nov. 2011, Barcelona, Spain | eng |
| temp.internal.duplicates | <p>Keine Dubletten gefunden. Letzte Überprüfung: 02.10.2014 12:14:00</p> | deu |