
FP-DiffNet restores degraded underwater fringe patterns with diffusion-model denoising, reaching 42.42 dB PSNR, 0.0354 rad wrapped-phase MAE, and sub-0.1 mm reconstruction RMSE in high turbidity.
Jan 1, 2026
A self-calibrating structured-light 3D imaging method that uses fringe projection to reduce manual calibration burden in 3D reconstruction.
Jan 1, 2026

A dual-head structured-light prototype uses generative diffusion models to recover aliased fringe patterns in the overlap region, enabling large-format complex surface measurement with up to 45.80 dB fringe recovery PSNR and 8 um reconstruction accuracy.
Jan 1, 2026

This work combines transformer-based fringe-image correspondence tracking with dynamic structured light, estimating pixel-wise motion-induced phase errors and compensating PSP reconstruction for accurate 3D imaging of moving objects.
Dec 15, 2025

A projected structured-light camera family for one-shot 3D imaging, covering FPB dual-projector and FPC single-projector series with high repeatability, pixel-aligned 2D/3D output, and hardware-side point-cloud computation.
Dec 8, 2025

A high-order polynomial calibration method for phase-shifting profilometry that uses a sparse greedy randomized Kaczmarz strategy to accelerate model fitting while maintaining 3D reconstruction accuracy.
Jan 1, 2025

A generative deep learning model embedded in an asynchronous structured light system recovers high-fidelity 3D shape from temporally misaligned fringe captures, enabling real-time 3D imaging of dynamic scenes without hardware synchronisation.
Jan 1, 2024

An automated pipeline reconstructs 3D shapes of multiple independently moving objects simultaneously using phase-shifting profilometry, tracking each object separately to enable motion compensation and per-object reconstruction without manual segmentation.
Sep 1, 2020

A scanner + rotary platform pipeline that captures arbitrary objects to ~0.1 mm in under 5 minutes—built to seed a 3D shape database without per-object parameter tuning.
Jan 15, 2019