MOTION BLUR ESTIMATION AT CORNERS

Giacomo Boracchi, Vincenzo Caglioti

Abstract

In this paper we propose a novel algorithm to estimate motion parameters from a single blurred image, exploiting geometrical relations between image intensities at pixels of a region that contains a corner. Corners are significant both for scene and motion understanding since they permit a univocal interpretation of motion parameters. Motion parameters are estimated locally in image regions, without assuming uniform blur on image so that the algorithm works also with blur produced by camera rotation and, more in general, with space variant blur.

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Paper Citation


in Bibtex Style

@conference{visapp07,
author={Giacomo Boracchi and Vincenzo Caglioti},
title={MOTION BLUR ESTIMATION AT CORNERS},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2007},
pages={296-302},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002052002960302},
isbn={978-972-8865-73-3},
}


in Harvard Style

Boracchi G. and Caglioti V. (2007). MOTION BLUR ESTIMATION AT CORNERS . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 978-972-8865-73-3, pages 296-302. DOI: 10.5220/0002052002960302


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - MOTION BLUR ESTIMATION AT CORNERS
SN - 978-972-8865-73-3
AU - Boracchi G.
AU - Caglioti V.
PY - 2007
SP - 296
EP - 302
DO - 10.5220/0002052002960302