ESTIMATING CAMERA ROTATION PARAMETERS FROM A BLURRED IMAGE

Giacomo Boracchi, Vincenzo Caglioti, Alberto Danese

Abstract

A fast rotation of the camera during the image acquisition results in a blurred image, which typically shows curved smears. We propose a novel algorithm for estimating both the camera rotation axis and the camera angular speed from a single blurred image. The algorithm is based on local analysis of the blur smears. Contrary to the existing methods, we treat the more general case where the rotation axis can be not orthogonal to the image plane, taking into account the perspective effects that in such case affect the smears. The algorithm is validated in experiments with synthetic and real blurred images, providing accurate estimates.

References

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Paper Citation


in Harvard Style

Boracchi G., Caglioti V. and Danese A. (2008). ESTIMATING CAMERA ROTATION PARAMETERS FROM A BLURRED IMAGE . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 389-395. DOI: 10.5220/0001085403890395


in Bibtex Style

@conference{visapp08,
author={Giacomo Boracchi and Vincenzo Caglioti and Alberto Danese},
title={ESTIMATING CAMERA ROTATION PARAMETERS FROM A BLURRED IMAGE},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={389-395},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001085403890395},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - ESTIMATING CAMERA ROTATION PARAMETERS FROM A BLURRED IMAGE
SN - 978-989-8111-21-0
AU - Boracchi G.
AU - Caglioti V.
AU - Danese A.
PY - 2008
SP - 389
EP - 395
DO - 10.5220/0001085403890395