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Authors: Tim Dolereit 1 and Arjan Kuijper 2

Affiliations: 1 Fraunhofer Institute for Computer Graphics Research IGD and University of Rostock, Germany ; 2 Fraunhofer Institute for Computer Graphics Research IGD, Germany

ISBN: 978-989-758-003-1

Keyword(s): Underwater Image Formation, Underwater Camera Model, Camera Calibration, Underwater Stereo Vision.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Device Calibration, Characterization and Modeling ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion

Abstract: The application of imaging devices in underwater environments has become a common practice. Protecting the camera’s constituent electric parts against water leads to refractive effects emanating from the water-glass-air transition of light rays. These non-linear distortions can not be modeled by the pinhole camera model. For our new approach we focus on flat interface systems. By handling refractive effects properly, we are able to convert the problem to imaging conditions in air. We show that based on the location of virtual object points in water, virtual parameters of a camera following the pinhole camera model can be computed per image ray. This enables us to image the same object as if it was situated in air. Our novel approach works for an arbitrary camera orientation to the refractive interface. We show experimentally that our adopted physical methods can be used for the computation of 3D object points by a stereo camera system with much higher precision than with a naive in-si tu calibration. (More)

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Paper citation in several formats:
Dolereit, T. and Kuijper, A. (2014). Converting Underwater Imaging into Imaging in Air.In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-003-1, pages 96-103. DOI: 10.5220/0004685600960103

@conference{visapp14,
author={Tim Dolereit. and Arjan Kuijper.},
title={Converting Underwater Imaging into Imaging in Air},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={96-103},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004685600960103},
isbn={978-989-758-003-1},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2014)
TI - Converting Underwater Imaging into Imaging in Air
SN - 978-989-758-003-1
AU - Dolereit, T.
AU - Kuijper, A.
PY - 2014
SP - 96
EP - 103
DO - 10.5220/0004685600960103

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