Recursive camera autocalibration with the Kalman filter

Given a projective reconstruction of a 3D scene, we address the problem of recovering the Euclidean structure of the scene in a recursive way. This leads to the application of Kalman filtering to the problem of camera autocalibration and to new algorithms for the autocalibration of cameras with vary...

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Detalles Bibliográficos
Autores: Gallego Bonet, Guillermo, Ronda Prieto, José Ignacio, Valdés Morales, Antonio, García, Narciso
Tipo de recurso: artículo
Fecha de publicación:2007
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/50502
Acceso en línea:https://hdl.handle.net/20.500.14352/50502
Access Level:acceso abierto
Palabra clave:514
004.8
calibration
Kalman filtering
cameras
Lenguajes de programación
Geometría
1203.23 Lenguajes de Programación
1204 Geometría
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oai_identifier_str oai:docta.ucm.es:20.500.14352/50502
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repository_id_str
spelling Recursive camera autocalibration with the Kalman filterGallego Bonet, GuillermoRonda Prieto, José IgnacioValdés Morales, AntonioGarcía, Narciso514004.8calibrationKalman filteringcamerasLenguajes de programaciónGeometría1203.23 Lenguajes de Programación1204 GeometríaGiven a projective reconstruction of a 3D scene, we address the problem of recovering the Euclidean structure of the scene in a recursive way. This leads to the application of Kalman filtering to the problem of camera autocalibration and to new algorithms for the autocalibration of cameras with varying parameters. This has benefits in saving memory and computational effort, and obtaining faster updates of the 3D Euclidean structure of the scene under consideration.IEEEUniversidad Complutense de Madrid20072007-01-0120072007-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/50502reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/505022026-06-02T12:44:21Z
dc.title.none.fl_str_mv Recursive camera autocalibration with the Kalman filter
title Recursive camera autocalibration with the Kalman filter
spellingShingle Recursive camera autocalibration with the Kalman filter
Gallego Bonet, Guillermo
514
004.8
calibration
Kalman filtering
cameras
Lenguajes de programación
Geometría
1203.23 Lenguajes de Programación
1204 Geometría
title_short Recursive camera autocalibration with the Kalman filter
title_full Recursive camera autocalibration with the Kalman filter
title_fullStr Recursive camera autocalibration with the Kalman filter
title_full_unstemmed Recursive camera autocalibration with the Kalman filter
title_sort Recursive camera autocalibration with the Kalman filter
dc.creator.none.fl_str_mv Gallego Bonet, Guillermo
Ronda Prieto, José Ignacio
Valdés Morales, Antonio
García, Narciso
author Gallego Bonet, Guillermo
author_facet Gallego Bonet, Guillermo
Ronda Prieto, José Ignacio
Valdés Morales, Antonio
García, Narciso
author_role author
author2 Ronda Prieto, José Ignacio
Valdés Morales, Antonio
García, Narciso
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 514
004.8
calibration
Kalman filtering
cameras
Lenguajes de programación
Geometría
1203.23 Lenguajes de Programación
1204 Geometría
topic 514
004.8
calibration
Kalman filtering
cameras
Lenguajes de programación
Geometría
1203.23 Lenguajes de Programación
1204 Geometría
description Given a projective reconstruction of a 3D scene, we address the problem of recovering the Euclidean structure of the scene in a recursive way. This leads to the application of Kalman filtering to the problem of camera autocalibration and to new algorithms for the autocalibration of cameras with varying parameters. This has benefits in saving memory and computational effort, and obtaining faster updates of the 3D Euclidean structure of the scene under consideration.
publishDate 2007
dc.date.none.fl_str_mv 2007
2007-01-01
2007
2007-01-01
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/20.500.14352/50502
url https://hdl.handle.net/20.500.14352/50502
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.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
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 15,300724

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