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Authors: Fabio Bellavia and Carlo Colombo

Affiliation: University of Florence, Italy

ISBN: 978-989-758-091-8

ISSN: 2184-4321

Keyword(s): Hierarchical Mosaicing, Viewpoint Computation, Underwater Vision.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Entertainment Imaging Applications ; Geometry and Modeling ; Image and Video Analysis ; Image Registration ; Image-Based Modeling ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Software Engineering ; Tracking and Visual Navigation

Abstract: This paper proposes a novel strategy to find the best reference homography in mosaics from video sequences. The reference homography globally minimizes the distortions induced on each image frame by the mosaic homography itself. This method is designed for planar mosaics on which a bad choice of the first reference image frame can lead to severe distortions after concatenating several successive homographies. This often happens in the case of underwater mosaics with non-flat seabed and no georeferential information available. Given a video sequence of an almost planar surface, sub-mosaics with low distortions of temporally close image frames are computed and successively merged according to a hierarchical clustering procedure. A robust and effective feature tracker using an approximated global position map between image frames allows us to build the mosaic also between locally close but not temporally consecutive frames. Sub-mosaics are successively merged by concatenating their relat ive homographies with another reference homography which minimizes the distortion on each frame of the fused image. Experimental results on challenging real underwater videos show the validity of the proposed method. (More)

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Paper citation in several formats:
Bellavia, F. and Colombo, C. (2015). Estimating the Best Reference Homography for Planar Mosaics From Videos. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8; ISSN 2184-4321, pages 512-519. DOI: 10.5220/0005297305120519

@conference{visapp15,
author={Fabio Bellavia. and Carlo Colombo.},
title={Estimating the Best Reference Homography for Planar Mosaics From Videos},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={512-519},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005297305120519},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - Estimating the Best Reference Homography for Planar Mosaics From Videos
SN - 978-989-758-091-8
IS - 2184-4321
AU - Bellavia, F.
AU - Colombo, C.
PY - 2015
SP - 512
EP - 519
DO - 10.5220/0005297305120519

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