π€ AI Summary
This work addresses severe phase artifacts in fringe projection profilometry caused by nonlinear projection and limited pattern control in miniature diffractive optical element (DOE) projectors. To overcome these challenges, the authors propose a ray-based phase error correction framework that directly models phase errors along projection rays, incorporating geometric information without relying on image-domain post-processing or neighboring pixel dependencies. A key innovation is the use of unidirectional hyperbolic fringe patterns to estimate the projectorβs pinhole location, enabling recovery of projection geometry without stereo calibration. An efficient correction model is then constructed from a single calibration pose. Experimental results demonstrate that the proposed method significantly improves 3D reconstruction accuracy under nonlinear conditions in miniature DOE-FPP systems, while maintaining robustness and physical consistency.
π Abstract
Fringe Projection Profilometry (FPP) systems using miniaturized DOE pro-jectors often suffer from severe phase artifacts due to nonlinear projection characteristics and limited pattern controllability. We propose a ray-based phase error correction framework that models phase artifacts along projection rays from the projector pinhole, incorporating projector geometry without re-lying on image-domain processing or neighboring pixels. A projector pinhole estimation method based on a single-directional hyperbolic fringe pattern is introduced, through which projector geometry can be recovered without stereo calibration. In addition, a data-efficient strategy constructs the re-finement model from a single calibration pose. Experiments on miniaturized DOE projector-based FPP systems demonstrate significant improvements in reconstruction accuracy under nonlinear projection conditions, confirming the robustness and physical consistency of the proposed approach.