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Authors: Juho Kannala ; Sami S. Brandt and Janne Heikkilä

Affiliation: Machine Vision Group, University of Oulu, Finland

Keyword(s): Camera model, camera calibration, self-calibration.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Multi-View Geometry

Abstract: This paper proposes a generic self-calibration method for central cameras. The method requires two-view point correspondences and estimates both the internal and external camera parameters by minimizing angular error. In the minimization, we use a generic camera model which is suitable for central cameras with different kinds of radial distortion models. The proposed method can be hence applied to a large range of cameras from narrow-angle to fish-eye lenses and catadioptric cameras. Here the camera parameters are estimated by minimizing the angular error which does not depend on the 3D coordinates of the point correspondences. However, the error still has several local minima and in order to avoid these we propose a multi-step optimization approach. This strategy also has the advantage that it can be used together with RANSAC to provide robustness for false matches. We demonstrate our method in experiments with synthetic and real data.

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Paper citation in several formats:
Kannala, J.; S. Brandt, S. and Heikkilä, J. (2008). SELF-CALIBRATION OF CENTRAL CAMERAS BY MINIMIZING ANGULAR ERROR. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 28-35. DOI: 10.5220/0001079800280035

@conference{visapp08,
author={Juho Kannala. and Sami {S. Brandt}. and Janne Heikkilä.},
title={SELF-CALIBRATION OF CENTRAL CAMERAS BY MINIMIZING ANGULAR ERROR},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={28-35},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001079800280035},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - SELF-CALIBRATION OF CENTRAL CAMERAS BY MINIMIZING ANGULAR ERROR
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Kannala, J.
AU - S. Brandt, S.
AU - Heikkilä, J.
PY - 2008
SP - 28
EP - 35
DO - 10.5220/0001079800280035
PB - SciTePress