Open AccessParaxial 3D shape measurement using parallel single-pixel imaging
Author(s) -
Yunfan Wang,
Haitao Zhao,
Hongzhi Jiang,
Xudong Li,
Yuxi Li,
Xu Yang
Publication year - 2021
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.435470
Subject(s) - optics , projector , paraxial approximation , structured light , projection (relational algebra) , triangulation , pixel , structured light 3d scanner , computer science , physics , mathematics , algorithm , geometry , beam (structure) , scanner
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 μm while the root-mean-square error (RMSE) of plane fitting up to 43 μm.