3D shape measurement based on Res-Attention-Unet for deep learning
Author:
Funder
Natural Science Foundation of Shandong Province
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00340-024-08260-7.pdf
Reference48 articles.
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3. S. Feng et al., Generalized framework for non-sinusoidal fringe analysis using deep learning. Photon. Res. 9(6), 1084 (2021). https://doi.org/10.1364/PRJ.420944
4. Y. Li et al., Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement. Opto-Electron. Adv. 5(5), 210021–210021 (2022). https://doi.org/10.29026/oea.2022.210021
5. W. Gaoxu et al., Suppressing motion-induced phase error by using equal-step phase-shifting algorithms in fringe projection profilometry. Opt. Exp. 30(11), 17980 (2022). https://doi.org/10.1364/OE.459087
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