Deep neural networks for computational optical form measurements

Lara Hoffmann, Clemens Elster

Open source

DOI: 10.5194/jsss-9-301-2020
Published: 2020-09-24
Container: Journal of Sensors and Sensor Systems
Publisher: Copernicus GmbH
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.5194/jsss-9-301-2020,
  title = {Deep neural networks for computational optical form measurements},
  author = {Lara Hoffmann and Clemens Elster},
  year = {2020},
  journal = {Journal of Sensors and Sensor Systems},
  doi = {10.5194/jsss-9-301-2020},
  url = {https://doi.org/10.5194/jsss-9-301-2020}
}

RIS

TY  - JOUR
TI  - Deep neural networks for computational optical form measurements
AU  - Lara Hoffmann
AU  - Clemens Elster
PY  - 2020
JO  - Journal of Sensors and Sensor Systems
DO  - 10.5194/jsss-9-301-2020
UR  - https://doi.org/10.5194/jsss-9-301-2020
ER  -

APA

Hoffmann, L., & Elster, C. (2020). Deep neural networks for computational optical form measurements. Journal of Sensors and Sensor Systems. https://doi.org/10.5194/jsss-9-301-2020

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crossref · retrieved 2026-09-25T10:12:29.266Z