A Binocular Vision-Based 3D Sampling Moire Method for Complex Shape Measurement

As a promising method for moire processing, sampling moire has attracted significant interest for binocular vision-based 3D measurement, which is widely used in many fields of science and engineering. However, one key problem of its 3D shape measurement is that the visual angle difference between the left and right cameras causes inconsistency of the fringe image carrier fields, resulting in the phase mismatch of sampling moire. In this paper, we developed a phase correction method to solve this problem. After epipolar rectification and carrier phase introduction and correction, the absolute phase of the fringe images was obtained. A more universal 3D sampling moire measurement can be achieved based on the phase match and binocular vision model. Our numerical simulation and experiment showed the high robustness and anti-noise ability of this new 3D sampling moire method for high-precision 3D shape measurement. As an application, cantilever beams are fabricated by directed energy deposition (DED) using different process parameters, and their 3D deformation caused by residual stresses is measured, showing great potential for residual stress analyses during additive manufacturing.

Automated summary

This research proposes a phase correction method to address the phase mismatch issue of sampling moire, achieving high-precision 3D shape measurement with high robustness and anti-noise ability. The method shows great potential for applications such as residual stress analysis in additive manufacturing processes.