Ray-based phase error correction for miniaturized DOE projector-based FPP under single-directional hyperbolic projection
Computer Vision and Pattern Recognition
Summary
The authors address problems in 3D scanning systems that use tiny projectors, which often create errors because the light patterns don't behave perfectly. They propose a new method that corrects these errors by understanding how the projector's rays travel from its lens, instead of just looking at the images. Their approach includes a way to figure out the projector's geometry without complicated setups, using a special pattern. Tests show their method makes the 3D scans more accurate even when the projector behaves non-linearly.
Authors
Seung-Jae Son, Yatong An, Jae-Sang Hyun
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.