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Camera calibration for water-biota research: the projected area of vegetation

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journal contribution
posted on 11.12.2015, 11:24 by Rene Wackrow, Edgar Ferreira, Jim Chandler, Koji Shiono
Imaging systems have an indisputable role in revealing vegetation posture under diverse flow conditions, image sequences being generated with off the shelf digital cameras. Such sensors are cheap but introduce a range of distortion effects, a trait only marginally tackled in hydraulic studies focusing on water-vegetation dependencies. This paper aims to bridge this gap by presenting a simple calibration method to remove both camera lens distortion and refractive effects of water. The effectiveness of the method is illustrated using the variable projected area, computed for both simple and complex shaped objects. Results demonstrate the significance of correcting images using a combined lens distortion and refraction model, prior to determining projected areas and further data analysis. Use of this technique is expected to increase data reliability for future work on vegetated channels.

Funding

This work was conducted with funding provided by the UK’s Engineering and Physical Sciences Research Council [Grant no. EP/K004891/1].

History

School

  • Architecture, Building and Civil Engineering

Published in

Sensors

Volume

15

Issue

12

Pages

30261 - 30269

Citation

WACKROW, R. ... et al, 2015. Camera calibration for water-biota research: the projected area of vegetation. Sensors, 15 (12), pp. 30261 - 30269.

Publisher

MDPI

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Publication date

2015

Notes

This is an open access article distributed under the Creative Commons Attribution License (CC BY 4.0) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

ISSN

1424-8239

Language

en