Autocalibration of Cameras with Known Pixel Shape

We present new algorithms for the recovery of the Euclidean structure from a projective calibration of a set of cameras of known pixel shape but otherwise arbitrarily varying intrinsic and extrinsic parameters. The algorithms have a geometrical motivation based on the properties of the set of lines...

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Detalles Bibliográficos
Autores: Ronda Prieto, José Ignacio, Valdés Morales, Antonio, Gallego Bonet, Guillermo
Tipo de recurso: artículo
Fecha de publicación:2005
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/52264
Acceso en línea:https://hdl.handle.net/20.500.14352/52264
Access Level:acceso abierto
Palabra clave:Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
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spelling Autocalibration of Cameras with Known Pixel ShapeRonda Prieto, José IgnacioValdés Morales, AntonioGallego Bonet, GuillermoInteligencia artificial (Informática)1203.04 Inteligencia ArtificialWe present new algorithms for the recovery of the Euclidean structure from a projective calibration of a set of cameras of known pixel shape but otherwise arbitrarily varying intrinsic and extrinsic parameters. The algorithms have a geometrical motivation based on the properties of the set of lines intersecting the absolute conic. The theoretical part of the paper contributes with theoretical results that establish the relationship between the geometrical object corresponding to this set of lines and other equivalent objects as the absolute quadric. Finally, the satisfactory performance of the techniques is demonstrated with synthetic and real data.Universidad Complutense de Madrid20052005-08-0220052005-08-02journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/52264reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/522642026-06-02T12:44:21Z
dc.title.none.fl_str_mv Autocalibration of Cameras with Known Pixel Shape
title Autocalibration of Cameras with Known Pixel Shape
spellingShingle Autocalibration of Cameras with Known Pixel Shape
Ronda Prieto, José Ignacio
Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
title_short Autocalibration of Cameras with Known Pixel Shape
title_full Autocalibration of Cameras with Known Pixel Shape
title_fullStr Autocalibration of Cameras with Known Pixel Shape
title_full_unstemmed Autocalibration of Cameras with Known Pixel Shape
title_sort Autocalibration of Cameras with Known Pixel Shape
dc.creator.none.fl_str_mv Ronda Prieto, José Ignacio
Valdés Morales, Antonio
Gallego Bonet, Guillermo
author Ronda Prieto, José Ignacio
author_facet Ronda Prieto, José Ignacio
Valdés Morales, Antonio
Gallego Bonet, Guillermo
author_role author
author2 Valdés Morales, Antonio
Gallego Bonet, Guillermo
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
topic Inteligencia artificial (Informática)
1203.04 Inteligencia Artificial
description We present new algorithms for the recovery of the Euclidean structure from a projective calibration of a set of cameras of known pixel shape but otherwise arbitrarily varying intrinsic and extrinsic parameters. The algorithms have a geometrical motivation based on the properties of the set of lines intersecting the absolute conic. The theoretical part of the paper contributes with theoretical results that establish the relationship between the geometrical object corresponding to this set of lines and other equivalent objects as the absolute quadric. Finally, the satisfactory performance of the techniques is demonstrated with synthetic and real data.
publishDate 2005
dc.date.none.fl_str_mv 2005
2005-08-02
2005
2005-08-02
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/52264
url https://hdl.handle.net/20.500.14352/52264
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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