Paraxial 3D shape measurement using parallel single-pixel imaging

Three-dimensional (3D) shape measurement with fringe projection technique and vertical scanning setup can alleviate the problem of shadow and occlusion. However, the shape-from-defocus based method suffers from limited sensitivity and low signal-to-noise ratio (SNR), whereas the projection-triangulation based is sensitive to the zero-phase detection. In this paper, we propose paraxial 3D shape measurement using parallel single-pixel imaging (PSI). The depth is encoded in the radial distance to the projector optical center, which is determined by the projection of light transport coefficients (LTCs). The third-order polynomial fitting is used for depth mapping and calibration. Experiments on 5 objects with different materials and textures are conducted, and standards are measured to test the accuracy. The results verified that the proposed method can achieve robust, dense reconstruction with depth accuracy at 20 mu m while the root-mean-square error (RMSE) of plane fitting up to 43 mu m. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

Automated summary

A new method for axial 3D shape measurement using parallel single-pixel imaging is proposed in this paper, encoding depth through the projection of light transport coefficients and using third-order polynomial fitting for depth mapping and calibration. Experimental results demonstrate that the method can achieve robust, dense reconstruction with high depth accuracy and accuracy.