Underwater structured light reconstruction method and system based on polarization adaptive scattering suppression
By acquiring phase-shifted fringe image sequences at four polarization angles, and utilizing time-domain integration and low-rank sparse matrix decomposition models combined with an adaptive iterative algorithm, the problems of low fringe contrast and large phase error in underwater 3D measurement were solved, achieving high-precision underwater 3D reconstruction.
Patent Information
- Application Number
- CN202610631845.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-09
- Publication Date
- 2026-06-05
- Estimated Expiration
- 2046-05-09
AI Technical Summary
Existing underwater 3D measurement technologies suffer from low fringe contrast and large phase errors in environments with strong scattering and absorption. Traditional descattering methods rely on complex priors, leading to loss of fringe details and reconstruction failure, making them difficult to apply effectively in turbid waters.
By acquiring phase-shifted fringe image sequences at four polarization angles, and using time-domain integral averaging and a low-rank sparse matrix factorization model, combined with an adaptive iterative truncation mean algorithm, the backscattered light intensity distribution and transmission coefficient are estimated. The fringe image sequences are then corrected frame by frame to achieve phase unwrapping and three-dimensional reconstruction.
It significantly improves stripe contrast and phase measurement accuracy in high turbidity environments, effectively suppresses 3D reconstruction distortion caused by specular reflection, and achieves high-precision underwater 3D point cloud reconstruction.