Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement

Jiaming Qian, Shijie Feng, Tianyang Tao, Yan Hu, Yixuan Li, Qian Chen, Chao Zuo

Open source

DOI: 10.1063/5.0003217
Published: 2020-04-01
Container: APL Photonics
Publisher: AIP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1063/5.0003217,
  title = {Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement},
  author = {Jiaming Qian and Shijie Feng and Tianyang Tao and Yan Hu and Yixuan Li and Qian Chen and Chao Zuo},
  year = {2020},
  journal = {APL Photonics},
  doi = {10.1063/5.0003217},
  url = {https://doi.org/10.1063/5.0003217}
}

RIS

TY  - JOUR
TI  - Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement
AU  - Jiaming Qian
AU  - Shijie Feng
AU  - Tianyang Tao
AU  - Yan Hu
AU  - Yixuan Li
AU  - Qian Chen
AU  - Chao Zuo
PY  - 2020
JO  - APL Photonics
DO  - 10.1063/5.0003217
UR  - https://doi.org/10.1063/5.0003217
ER  -

APA

Qian, J., Feng, S., Tao, T., Hu, Y., Li, Y., Chen, Q., & Zuo, C. (2020). Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement. APL Photonics. https://doi.org/10.1063/5.0003217

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crossref · retrieved 2026-11-10T04:49:20.151Z