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Proceedings Paper

Evaluating the capability of time-of-flight cameras for accurately imaging a cyclically loaded beam
Author(s): Hervé Lahamy; Derek Lichti; Mamdouh El-Badry; Xiaojuan Qi; Ivan Detchev; Jeremy Steward; Mohammad Moravvej
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Paper Abstract

Time-of-flight cameras are used for diverse applications ranging from human-machine interfaces and gaming to robotics and earth topography. This paper aims at evaluating the capability of the Mesa Imaging SR4000 and the Microsoft Kinect 2.0 time-of-flight cameras for accurately imaging the top surface of a concrete beam subjected to fatigue loading in laboratory conditions. Whereas previous work has demonstrated the success of such sensors for measuring the response at point locations, the aim here is to measure the entire beam surface in support of the overall objective of evaluating the effectiveness of concrete beam reinforcement with steel fibre reinforced polymer sheets. After applying corrections for lens distortions to the data and differencing images over time to remove systematic errors due to internal scattering, the periodic deflections experienced by the beam have been estimated for the entire top surface of the beam and at witness plates attached. The results have been assessed by comparison with measurements from highly-accurate laser displacement transducers. This study concludes that both the Microsoft Kinect 2.0 and the Mesa Imaging SR4000s are capable of sensing a moving surface with sub-millimeter accuracy once the image distortions have been modeled and removed.

Paper Details

Date Published: 21 June 2015
PDF: 11 pages
Proc. SPIE 9528, Videometrics, Range Imaging, and Applications XIII, 95280V (21 June 2015); doi: 10.1117/12.2184838
Show Author Affiliations
Hervé Lahamy, Univ. of Calgary (Canada)
Derek Lichti, Univ. of Calgary (Canada)
Mamdouh El-Badry, Univ. of Calgary (Canada)
Xiaojuan Qi, Univ. of Calgary (Canada)
Ivan Detchev, Univ. of Calgary (Canada)
Jeremy Steward, Univ. of Calgary (Canada)
Mohammad Moravvej, Univ. of Calgary (Canada)


Published in SPIE Proceedings Vol. 9528:
Videometrics, Range Imaging, and Applications XIII
Fabio Remondino; Mark R. Shortis, Editor(s)

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