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Authors: Sang Ly 1 ; Cédric Demonceaux 1 and Pascal Vasseur 2

Affiliations: 1 University of Picardie Jules Verne, France ; 2 University of Picardie Jules Verne; University of Technology of Compiègne, Centre de Recherches de Royallieu, France

ISBN: 978-989-674-028-3

Keyword(s): Multi-view reconstruction, Topology recovery, Extrinsic calibration.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image Formation and Preprocessing ; Image-Based Modeling ; Multi-View Geometry ; Pattern Recognition ; Software Engineering

Abstract: We present a topology estimation approach for a system of single view point (SVP) cameras using lines. Images captured by SVP cameras such as perspective, central catadioptric or fisheye cameras are mapped to spherical images using the unified projection model. We recover the topology of a multiple central camera setup by rotation and translation decoupling. The camera rotations are first recovered from vanishing points of parallel lines. Next, the translations are estimated from known rotations and line projections in spherical images. The proposed algorithm has been validated on simulated data and real images from perspective and fisheye cameras. This vision-based approach can be used to initialize an extrinsic calibration of a hybrid camera network.

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Paper citation in several formats:
Ly S.; Demonceaux C.; Vasseur P. and (2010). MULTI-CAMERA TOPOLOGY RECOVERY USING LINES.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 245-250. DOI: 10.5220/0002843302450250

@conference{visapp10,
author={Sang Ly and Cédric Demonceaux and Pascal Vasseur},
title={MULTI-CAMERA TOPOLOGY RECOVERY USING LINES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={245-250},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002843302450250},
isbn={978-989-674-028-3},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - MULTI-CAMERA TOPOLOGY RECOVERY USING LINES
SN - 978-989-674-028-3
AU - Ly, S.
AU - Demonceaux, C.
AU - Vasseur, P.
PY - 2010
SP - 245
EP - 250
DO - 10.5220/0002843302450250

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