A Binocular Vision-Based 3D Sampling Moiré Method for Complex Shape Measurement
Source abstract
Abstract
As a promising method for moiré processing, sampling moiré 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 moiré. 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 moiré 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 moiré 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.
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Research context
OpenAlex topics: Optical measurement and interference techniques · Advanced Measurement and Metrology Techniques · Image Processing Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Aerospace Engineering, Tsinghua University, Beijing 100084, China
College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, China
Funding
National Natural Science Foundation of China · National Key Research and Development Program of China · National Science and Technology Major Project
References (35)
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