Infrared and Laser Engineering, Volume. 49, Issue 7, 20200012(2020)
Defocus projection three-dimensional measurement based on deep learning accurate phase acquisition
Fig. 1. Schematic diagram of conventional high-speed 3D measurement
Fig. 2. Schematic of accurate phase acquisition. (a) Phase with noise;(b) proposed PDNet;(c) result by the proposed method
Fig. 4. Simulation results. (a) Phase map with noise;(b) result by the proposed method;(c) comparison of the phase in the 100th column from
Fig. 5. Phase error of simulated wrapped phase at
Fig. 6. Experiment results. (a) Phase map with noise;(b) result by the proposed method;(c) comparison of the phase in the 100th column from
Fig. 7. Phase error of actual measurement of wrapped phase at
Fig. 8. Wrapping phase map before and after denoising and its error comparison. (a) Phase map with noise;(b) result by the proposed method;(c) phase error before denoising;(d) phase error after denoising
Fig. 9. Comparison of reconstruction results. (a) Reconstruction results before processing using the proposed method;(b) ideal reconstruction results;(c) reconstruction result by the proposed method;(d) reconstruction error curve
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Yang Zhao, Jia''an Fu, Haotian Yu, Jing Han, Dongliang Zheng. Defocus projection three-dimensional measurement based on deep learning accurate phase acquisition[J]. Infrared and Laser Engineering, 2020, 49(7): 20200012
Category: 光电测量
Received: Apr. 13, 2020
Accepted: --
Published Online: Aug. 19, 2020
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