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Camera Calibration using the Damped Bundle Adjustment Toolbox
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-7657-6917
INSA Strasbourg, France. (ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group)
2014 (English)In: ISPRS Annals - Volume II-5, 2014: ISPRS Technical Commission V Symposium 23–25 June 2014, Riva del Garda, Italy / [ed] F. Remondino and F. Menna, Copernicus GmbH , 2014, Vol. II-5, 89-96 p.Conference paper (Refereed)
Abstract [en]

Camera calibration is one of the fundamental photogrammetric tasks. The standard procedure is to apply an iterative adjustment to measurements of known control points. The iterative adjustment needs initial values of internal and external parameters. In this paper we investigate a procedure where only one parameter - the focal length is given a specific initial value. The procedure is validated using the freely available Damped Bundle Adjustment Toolbox on five calibration data sets using varying narrow- and wide-angle lenses. The results show that the Gauss-Newton-Armijo and Levenberg-Marquardt-Powell bundle adjustment methods implemented in the toolbox converge even if the initial values of the focal length are between 1/2 and 32 times the true focal length, even if the parameters are highly correlated. Standard statistical analysis methods in the toolbox enable manual selection of the lens distortion parameters to estimate, something not available in other camera calibration toolboxes. A standardised camera calibration procedure that does not require any information about the camera sensor or focal length is suggested based on the convergence results. The toolbox source and data sets used in this paper are available from the authors.

Place, publisher, year, edition, pages
Copernicus GmbH , 2014. Vol. II-5, 89-96 p.
, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISSN 2194-9050 ; Volume II-5
Keyword [en]
Camera calibration, bundle adjustment, focal length, convergent, initial values, close range photogrammetry
National Category
Computer Vision and Robotics (Autonomous Systems) Computational Mathematics
Research subject
Computer and Information Science
URN: urn:nbn:se:umu:diva-88638DOI: 10.5194/isprsannals-II-5-89-2014OAI: diva2:716613
ISPRS Technical Commission V Symposium, 23 – 25 June 2014, Riva del Garda, Italy
Available from: 2014-05-12 Created: 2014-05-12 Last updated: 2014-06-11Bibliographically approved

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