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Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement
2020
Opto-Electronic Advances
Single-shot high-speed 3D imaging is important for reconstructions of dynamic objects. For fringe projection profilometry (FPP), however, it is still challenging to recover accurate 3D shapes of isolated objects by a single fringe image. In this paper, we demonstrate that the deep neural networks can be trained to directly recover the absolute phase from a unique fringe image that involves spatially multiplexed fringe patterns of different frequencies. The extracted phase is free from
doi:10.29026/oea.2022.210021
fatcat:ddfczoourbf47pa6gsucalry6m