Hybrid calibration procedure for fringe projection profilometry based on stereo-vision and polynomial fitting
This work addresses calibration challenges in optical metrology for applications like industrial inspection, but it is incremental as it builds on existing techniques.
The authors tackled the problem of accurate 3D shape measurement in Fringe Projection Profilometry by proposing a hybrid calibration method that combines stereo-vision and polynomial fitting, resulting in improved accuracy and faster reconstruction time compared to existing stereo-vision methods.
The key to accurate 3D shape measurement in Fringe Projection Profilometry (FPP) is the proper calibration of the measurement system. Current calibration techniques rely on phase-coordinate mapping (PCM) or back-projection stereo-vision (SV) methods. PCM methods are cumbersome to implement as they require precise positioning of the calibration target relative to the FPP system but produce highly accurate measurements within the calibration volume. SV methods generally do not achieve the same accuracy level. However, the calibration is more flexible in that the calibration target can be arbitrarily positioned. In this work, we propose a hybrid calibration method that leverages the SV calibration approach using a PCM method to achieve higher accuracy. The method has the flexibility of SV methods, is robust to lens distortions, and has a simple relation between the recovered phase and the metric coordinates. Experimental results show that the proposed Hybrid method outperforms the SV method in terms of accuracy and reconstruction time due to its low computational complexity.