Decoupling Photometry and Geometry in Dense Variational Camera Calibration

Aubry, Mathieu; Kolev, Kalin; Goldlücke, Bastian; Cremers, Daniel

Decoupling Photometry and Geometry in Dense Variational Camera Calibration

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2011

Autor:innen

Aubry, Mathieu

Kolev, Kalin

Goldlücke, Bastian

Cremers, Daniel

DOI (zitierfähiger Link)

https://doi.org/10.1109/ICCV.2011.6126396

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Beitrag zu einem Konferenzband

unikn.publication.listelement.citation.prefix.version.undefined

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

Zusammenfassung

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.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

calibration, cameras, geometry, image matching, image reconstruction, image resolution, image texture, photometry

Konferenz

IEE International Conference on Computer Vision, 3. Nov. 2011 - 13. Nov. 2011, Barcelona

Zitieren

ISO 690

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

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}
}

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>

Universitätsbibliographie

Nein