@inproceedings{f143b60d9d554f8f961f0cc8e78c1dbd,
title = "Camera Calibration for Underwater 3D Reconstruction Based on Ray Tracing using Snell{\textquoteright}s Law",
abstract = "Accurately estimating the 3D position of underwater objects is of great interest when doing research on marine animals. An inherent problem of 3D reconstruction of underwater positions is the presence of refraction which invalidates the assumption of a single viewpoint. Three ways of performing 3D reconstruction on underwater objects are compared in this work: an approach relying solely on in-air camera calibration, an approach with the camera calibration performed under water and an approach based on ray tracing with Snell{\textquoteright}s law. As expected, the in-air camera calibration showed to be the most inaccurate as it does not take refraction into account. The precision of the estimated 3D positions based on the underwater camera calibration and the ray tracing based approach were, on the other hand, almost identical. However, the ray tracing based approach is found to be advantageous as it is far more flexible in terms of the calibration procedure due to the decoupling of the intrinsic and extrinsic camera parameters.",
author = "Malte Pedersen and Bengtson, {Stefan Hein} and Rikke Gade and Niels Madsen and Moeslund, {Thomas B.}",
year = "2018",
month = dec,
day = "13",
doi = "10.1109/CVPRW.2018.00190",
language = "English",
isbn = "978-1-5386-6101-7",
series = "IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops",
pages = "1410--1417",
booktitle = "2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)",
publisher = "IEEE",
address = "United States",
note = "31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2018 ; Conference date: 18-06-2018 Through 22-06-2018",
}