Are Two Rotational Flows Sufficient to Calibrate a Smooth Non-Parametric Sensor?
Abstract
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.
Cite
Text
Grossmann et al. "Are Two Rotational Flows Sufficient to Calibrate a Smooth Non-Parametric Sensor?." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.60Markdown
[Grossmann et al. "Are Two Rotational Flows Sufficient to Calibrate a Smooth Non-Parametric Sensor?." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/grossmann2006cvpr-two/) doi:10.1109/CVPR.2006.60BibTeX
@inproceedings{grossmann2006cvpr-two,
title = {{Are Two Rotational Flows Sufficient to Calibrate a Smooth Non-Parametric Sensor?}},
author = {Grossmann, Etienne and Lee, Eun-Joo and Hislop, Peter and Nistér, David and Stewénius, Henrik},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2006},
pages = {1222-1229},
doi = {10.1109/CVPR.2006.60},
url = {https://mlanthology.org/cvpr/2006/grossmann2006cvpr-two/}
}