Camera Calibration using the Damped Bundle Adjustment Toolbox
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 on...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2014-05-01
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5/89/2014/isprsannals-II-5-89-2014.pdf |
Summary: | 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.
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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.
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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.
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The toolbox source and data sets used in this paper are available from the authors. |
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ISSN: | 2194-9042 2194-9050 |