Deep-learning-enabled dual-frequency-multiplexing FPP technique. (IMAGE)
Caption
Through "learning" from a large number of data sets, a properly trained neural network can "de-multiplex" high-resolution, spectrally crosstalk-free phases from the composite fringe and directly reconstruct a high-accuracy absolute phase map for single-shot, unambiguous 3D surface imaging. This research opens new avenues for single-shot, instantaneous 3D shape measurement of discontinuous and/or mutually isolated objects in fast motion.
Credit
OEA
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CC BY