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2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06)
Are two rotational flows sufficient to calibrate a smooth non-parametric sensor?
New York, NY
June 17-June 22
ISBN: 0-7695-2597-0
Etienne Grossmann, U. de Montréal
Eun-Joo Lee, U. of Kentucky
Peter Hislop, U. of Kentucky
David Nistér, U. of Kentucky
Henrik Stewénius, U. of Kentucky
We present an attempt to determine whether the shape of a generic central-projection camera, such as the eye of an insect or a log-polar camera, can be determined from two motion flows resulting from purely rotational motions with non-collinear axes. Our first contribution is to write the smooth non-parametric calibration problem as a differential equation. It is unclear at present whether this problem has unique solution, up to an orthogonal transformation. Our second contribution is a discretized version of this smooth problem, for which we give a calibration algorithm - a third contribution. Using this algorithm, we explore numerically the properties of the discrete self-calibration problem, giving some insight on the nature of the problem. We show examples of successful self-calibration, but cannot give a definite affirmative answer to the question in the title.
Citation:
Etienne Grossmann, Eun-Joo Lee, Peter Hislop, David Nistér, Henrik Stewénius, "Are two rotational flows sufficient to calibrate a smooth non-parametric sensor?," cvpr, vol. 1, pp.1222-1229, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06), 2006
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