Accelerating fringe projection profilometry to 100k fps at high-resolution using deep learning

Jie Xu; Jindong Tian

doi:10.1038/s41377-025-01802-4

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Accelerating fringe projection profilometry to 100k fps at high-resolution using deep learning

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- Accelerating fringe projection profilometry to 100k fps at high-resolution using deep learning
- Light: Science & Applications Vol. 14, Issue 5, Pages: 1174-1176(2025)
- Affiliations：
  
  1.College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen 518060, China
  2.Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen), Shenzhen 518107, China
- Author bio：
  
  Jindong Tian (jindt@szu.edu.cn)
- Funds：
- DOI：10.1038/s41377-025-01802-4
  CLC：
- Published Online：27 March 2025，
  
  Published：31 May 2025
- Accepted：
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Xu, J. & Tian, J. D. Accelerating fringe projection profilometry to 100k fps at high-resolution using deep learning. Light: Science & Applications, 14, 1174-1176 (2025).
DOI：

Xu, J. & Tian, J. D. Accelerating fringe projection profilometry to 100k fps at high-resolution using deep learning. Light: Science & Applications, 14, 1174-1176 (2025). DOI： 10.1038/s41377-025-01802-4.

摘要

Abstract

Fringe projection profilometry

a powerful technique for three-dimensional (3D) imaging and measurement

has been revolutionized by deep learning

achieving speeds of up to 100

000 frames per second (fps) while preserving high-resolution. This advancement expands its applications to high-speed transient scenarios

opening new possibilities for ultrafast 3D measurements.

关键词

Keywords

references

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