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|Title: ||Camera calibration for water-biota research: the projected area of vegetation|
|Authors: ||Wackrow, Rene|
Chandler, Jim H.
Flow visualization and imaging
|Issue Date: ||2015|
|Citation: ||WACKROW, R. ... et al, 2015. Camera calibration for water-biota research: the projected area of vegetation. Sensors, 15 (12), pp. 30261 - 30269.|
|Abstract: ||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.|
|Description: ||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.|
work was conducted with funding provided by the UK’s Engineering and Physical Sciences Research Council
[Grant no. EP/K004891/1].|
|Publisher Link: ||http://dx.doi.org/10.3390/s151229798|
|Appears in Collections:||Published Articles (Architecture, Building and Civil Engineering)|
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