Title:
Recursive Camera Autocalibration with the Kalman Filter

dc.contributor.author Gallego, Guillermo en_US
dc.contributor.author Ronda, José I. en_US
dc.contributor.author Valdés, Antonio en_US
dc.contributor.author García, Narciso en_US
dc.contributor.corporatename Georgia Institute of Technology. School of Electrical and Computer Engineering en_US
dc.contributor.corporatename Universidad Politécnica de Madrid. Grupo de Tratamiento de Imagenes en_US
dc.contributor.corporatename Universidad Complutense de Madrid. Departamento de Geometría y Topología en_US
dc.date.accessioned 2013-08-14T20:32:14Z
dc.date.available 2013-08-14T20:32:14Z
dc.date.issued 2007
dc.description ©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or distribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. en_US
dc.description Presented at ICIP 2007, IEEE International Conference on Image Processing, Sept. 16 2007-Oct. 19 2007. en_US
dc.description DOI: 10.1109/ICIP.2007.4379802 en_US
dc.description.abstract 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. en_US
dc.identifier.citation Guillermo Gallego, José I. Ronda, Antonio Valdés, Narciso García, "Recursive camera autocalibration with the Kalman filter," IEEE International Conference on Image Processing (ICIP) 2007, vol. 5, pp. 209-212. San Antonio, USA, Sept. 2007. en_US
dc.identifier.doi 10.1109/ICIP.2007.4379802
dc.identifier.isbn 978-1-4244-1437-6
dc.identifier.issn 1522-4880
dc.identifier.uri http://hdl.handle.net/1853/48684
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Calibration en_US
dc.subject Kalman filtering en_US
dc.subject Cameras en_US
dc.title Recursive Camera Autocalibration with the Kalman Filter en_US
dc.type Text
dc.type.genre Proceedings
dc.type.genre Post-print
dspace.entity.type Publication
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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