A Novel Dynamic Light-Section 3D Reconstruction Method for Wide-Range Sensing

Author:

Chen Mengjuan1ORCID,Li Qing1,Shimasaki Kohei1,Hu Shaopeng1,Gu Qingyi2ORCID,Ishii Idaku1

Affiliation:

1. School of Advanced Science and Technology, Hiroshima University, Higashihiroshima 739-8527, Japan

2. Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China

Abstract

Existing galvanometer-based laser-scanning systems are challenging to apply in multi-scale 3D reconstruction because of the difficulty in achieving a balance between a high reconstruction accuracy and a wide reconstruction range. This paper presents a novel method that synchronizes laser scanning by switching the field-of-view (FOV) of a camera using multi-galvanometers. Beyond the advanced hardware setup, we establish a comprehensive geometric model of the system by modeling dynamic camera, dynamic laser, and their combined interaction. Furthermore, since existing calibration methods mainly focus on either dynamic lasers or dynamic cameras and have certain limitations, we propose a novel high-precision and flexible calibration method by constructing an error model and minimizing the objective function. The performance of the proposed method was evaluated by scanning standard components. The results show that the proposed 3D reconstruction system achieves an accuracy of 0.3 mm when the measurement range is extended to 1100 mm × 1300 mm × 650 mm. This demonstrates that for meter-scale reconstruction ranges, a sub-millimeter measurement accuracy is achieved, indicating that the proposed method realizes multi-scale 3D reconstruction and simultaneously allows for high-precision and wide-range 3D reconstruction in industrial applications.

Publisher

MDPI AG

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Visual-Feedback-Based Active Light-Section 3-D Reconstruction Method for Moving Objects;IEEE Transactions on Instrumentation and Measurement;2024

2. Research on 3D Animation Capture Driving Technology for Digital Media;Applied Mathematics and Nonlinear Sciences;2024-01-01

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