most citedDeep Learning-based Single-Shot Composite Fringe Projection Profilometry with Pixel-Wise Uncertainty Quantification

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CV2026

RACE-FPP: A Robust AI-assisted Characterisation Enhancement for Fringe Projection Profilometry

Osman Ali, Xiangjun Kong, Tibebe Yalew +2

Fringe Projection Profilometry (FPP) requires precise system characterisation to achieve reliable three-dimensional (3D) reconstructions; however, characterisation accuracy strongl…

physics.optics2026★ 1 cited

Deep Learning-based Single-Shot Composite Fringe Projection Profilometry with Pixel-Wise Uncertainty Quantification

Xiangjun Kong, Qingkang Bao, Tibebe Yalew +2

Driven by the growing demand for high-speed 3D measurement in advanced manufacturing, optical metrology algorithms must deliver high accuracy and robustness under dynamic condition…