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Adaptive regional multimodal flexible mapping light plane calibration for line-structured light 3D reconstruction systems

delete2026-04-01
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PRE
AI
L
Luo, Xiaowen
C
Chen, Xiaohui *
W
Wu, Xiaotong
Z
Zhong, Yuning
Y
Yang, Guang
W
Wang, Shenghuai
K
Ke, Xinyu
DOI:10.1117/1.OE.65.4.044106delete
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Abstract

Abstract

En 中文
To address the problems of cumbersome procedures and low calibration accuracy in light plane calibration for existing line-structured light 3D reconstruction systems, a light plane calibration method based on adaptive regional multimodal flexible mapping is proposed. The method employs the corner coordinates of a checkerboard image as feature points for light plane calibration, which recasts light plane equation solving as establishing correspondences between feature points in the pixel and world coordinate systems. Based on this, an adaptive regional multimodal flexible mapping model is constructed to establish adaptive correspondences between pixel and world coordinates for feature points within each region of the light plane. This approach addresses the loss of calibration accuracy caused by severe distortions while simultaneously accounting for nonorthogonal distortions and high-order nonlinear deformations. The method requires only a single comprehensive flexible mapping, achieving both distortion correction and high-precision calibration of the light plane. The method obviates the need for light stripe center extraction and the utilization of intrinsic and extrinsic parameter matrices, thereby eliminating the impact of image-processing errors on calibration outcomes. Experimental results demonstrate that the method is simple to operate and provides a large number of feature points. It achieves an average Euclidean distance residual of 3.61316 mu m between corresponding feature points before and after calibration, improving the overall mapping accuracy by 36.51% compared with the traditional fifth-order global mapping model. After three calibration experiments, the system exhibits a measurement standard deviation of approximately 0.25 mu m, a repeatability measurement error within +/- 10 mu m. Compared with traditional ICR methods, the proposed method reduces the RMSE by 80.82%.
Keywords:
flexible mapping
multimodal
line-structured light
light plane calibration
3D reconstruction

Journal

O
Optical Engineering
IF:
1.2
Papers:
178
Citations:
1.1W

Organization

H
hubei university of automotive technology
Scholars:
502
Papers: 250
Citations: 0
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