Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems
JSSS
Articles | Volume 9, issue 2
Articles | Volume 9, issue 2
https://doi.org/10.5194/jsss-9-301-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/jsss-9-301-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 9, issue 2
Regular research article
 | 
24 Sep 2020
Regular research article |  | 24 Sep 2020

Deep neural networks for computational optical form measurements

Lara Hoffmann and Clemens Elster

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Latest update: 02 Jul 2024
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Short summary
Deep learning has become a state-of-the-art method in machine learning, with a broad range of successful applications. Our goal is to explore the benefits of deep learning techniques for computational optical form measurements. The research is based on solving a nonlinear inverse problem aimed at the reconstruction of optical topographies from given processed interferograms. A U-Net network structure is chosen and tested on a simulated database. The obtained results are promising.
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Special issue
Sensors and Measurement Science International SMSI 2020