Converting Underwater Imaging into Imaging in Air

Tim Dolereit, Arjan Kuijper


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-situ calibration.


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Paper Citation

in Harvard Style

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

in Bibtex Style

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)},

in EndNote Style

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