Articles | Volume 10, issue 2
https://doi.org/10.5194/jsss-10-207-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/jsss-10-207-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Iterative feature detection of a coded checkerboard target for the geometric calibration of infrared cameras
Sebastian Schramm
CORRESPONDING AUTHOR
Department of Measurement and Control, University of Kassel, 34125 Kassel, Germany
Jannik Ebert
Department of Measurement and Control, University of Kassel, 34125 Kassel, Germany
Johannes Rangel
Department of Measurement and Control, University of Kassel, 34125 Kassel, Germany
Robert Schmoll
Department of Measurement and Control, University of Kassel, 34125 Kassel, Germany
Andreas Kroll
Department of Measurement and Control, University of Kassel, 34125 Kassel, Germany
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J. Sens. Sens. Syst., 11, 41–49, https://doi.org/10.5194/jsss-11-41-2022, https://doi.org/10.5194/jsss-11-41-2022, 2022
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The method of non-contact temperature measurement in conjunction with a 3D sensor described in this paper can be used to determine the heat loss of technical devices and industrial plants. This measurement tool thus helps to optimize the energy efficiency of these devices and plants.
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Short summary
During the geometric calibration of infrared cameras, the parameters that describe where object points are mapped onto thermal images are determined. The required reference data is obtained by capturing so-called calibration targets. In established approaches, it is difficult to estimate the lens distortions precisely. A newly developed target and its evaluation algorithm make it possible to increase the sensitivity of the calibration by finding reference points close to image borders.
During the geometric calibration of infrared cameras, the parameters that describe where object...