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Journal of Sensors and Sensor Systems An open-access peer-reviewed journal
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Volume 7, issue 2
J. Sens. Sens. Syst., 7, 517-533, 2018
https://doi.org/10.5194/jsss-7-517-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Evaluating measurement data and uncertainty

J. Sens. Sens. Syst., 7, 517-533, 2018
https://doi.org/10.5194/jsss-7-517-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Regular research article 28 Sep 2018

Regular research article | 28 Sep 2018

Modeling the unified measurement uncertainty of deflectometric and plenoptic 3-D sensors

Mathias Ziebarth1, Niclas Zeller2, Michael Heizmann3, and Franz Quint2 Mathias Ziebarth et al.
  • 1Vision and Fusion Laboratory, Karlsruhe Institute of Technology, Karlsruhe, Germany
  • 2Faculty of Electrical Engineering and Information Technology, Karlsruhe University of Applied Sciences, Karlsruhe, Germany
  • 3Institut für Industrielle Informationstechnik, Karlsruhe Institute of Technology, Karlsruhe, Germany

Abstract. In this paper we propose new models of two complementary optical sensors to obtain 2.5-D measurements of opaque surfaces: a deflectometric and a plenoptic sensor. The deflectometric sensor uses active triangulation and works best on specular surfaces, while the plenoptic sensor uses passive triangulation and works best on textured, diffusely reflecting surfaces. We propose models to describe the measurement uncertainties of the sensors for specularly to diffusely reflecting surfaces under consideration of typical disturbances like ambient light or vibration. The predicted measurement uncertainties of both sensors can be used to obtain optimized measurements uncertainties for varying surface properties on the basis of a combined sensor system. The models are validated exemplarily based on real measurements.

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We propose a measurement uncertainty model of two complementary optical sensors: a deflectometric and a plenoptic sensor. The deflectometric sensor uses active triangulation and works best on specular surfaces, while the plenoptic sensor uses passive triangulation and works best on textured, diffusely reflecting surfaces. The predicted uncertainties can be used to obtain optimized measurements for varying surface properties. The models are validated exemplarily based on real measurements.
We propose a measurement uncertainty model of two complementary optical sensors: a...
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