Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning

To reveal the fundamental aspects hidden behind a variety of transient events in mechanics, physics, and biology, the highly desired ability to acquire three-dimensional (3D) images with ultrafast temporal resolution has been long sought. As one of the most commonly employed 3D sensing techniques, fringe projection profilometry (FPP) reconstructs the depth of a scene from stereo images taken with sequentially structured illuminations. However, the imaging speed of current FPP methods is generally capped at several kHz, which is limited by the projector-camera hardware and the number of fringe patterns required for phase retrieval and unwrapping. Here we report a novel learning-based ultrafast 3D imaging…

• NN
  National Natural Science Foundation of China

  Awards: 62075096, BRA2016407, 62227818, 62361136588, U21B2033, 62105151, 62175109
• GO
  Government of Jiangsu Province

  Awards: BRA2016407, BZ2020007, BK20192003
• NK
  National Key Research and Development Program of China

  Awards: 2022YFA1205002, 2022YFB2804603, 2024YFE0101300
• FR
  Fundamental Research Funds for the Central Universities

  Awards: 30920032101, BRA2016407, 30919011222, 30921011208