| 孙江宏,杨箫,孙英杰,孙雨彤,李嘉宝.交叉结构光自动同步标定的工业三维测量系统[J].电子测量与仪器学报,2026,40(2):67-75 |
| 交叉结构光自动同步标定的工业三维测量系统 |
| Industrial 3D measurement system with automatic simultaneouscalibration using cross-structured light |
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| DOI： |
| 中文关键词: 三维重建 交叉结构光 自动同步标定 工业测量 逆向工程 |
| 英文关键词:3D reconstruction cross-structured light automatic synchronous calibration industrial measurement reverse engineering |
| 基金项目:北京市昌平区“科技副总”专项（202408003039）、沙河高教园区高校成果概念验证项目（SHGNYZ202405）资助 |
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| Author | Institution |
| Sun Jianghong | 1.School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 102206, China;
2.Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing 100192, China |
| Yang Xiao | 1.School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 102206, China;
2.Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing 100192, China |
| Sun Yingjie | 1.School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 102206, China;
2.Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing 100192, China |
| Sun Yutong | 1.School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 102206, China;
2.Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing 100192, China |
| Li Jiabao | 1.School of Mechanical and Electrical Engineering, Beijing Information Science and Technology University, Beijing 102206, China;
2.Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing 100192, China |
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| 摘要点击次数: 385 |
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| 中文摘要: |
| 针对非接触式三维重建中相机与光平面标定存在的人工干预频繁、分步标定累积误差大及自动化程度低等问题，提出一种基于交叉结构光的自动同步标定方法。该方法利用双激光束交点的几何不变性构建了交叉结构光空间几何模型，推导单组图像下相机内参、外参及光平面参数的求解算法。该流程摒弃传统标定方法中对靶标多次重定位的依赖，直接通过特征点云的几何变换实现参数统一，实现标定与测量的一体化集成。通过对标准氧化铝板与非标准铝合金零件的扫描实验，验证该方法在不同材质与几何特征下的有效性。结果表明，在标准工业条件下，该系统的尺寸测量误差控制在±0.5 mm以内，平均三维重建精度达±0.25 mm，峰值误差率低于2.67%。该方法有效克服传统方法对人工辅助的依赖，在保证高精度的同时显著降低操作复杂性并提升检测效率，为工业测量、逆向工程及表面形貌分析提供一种高效、低成本且全自动的解决方案。 |
| 英文摘要: |
| To address the limitations of traditional calibration methods in non-contact 3D reconstruction—specifically the frequent need for manual intervention, significant error accumulation caused by multi-step calibration, and low levels of automation— this paper proposes an automatic synchronous calibration method based on cross-structured light. By utilizing the geometric invariance of the intersection points of dual laser beams, a spatial geometric model of the cross-structured light is constructed. An algorithm is then derived to synchronously solve the camera intrinsic parameters, extrinsic parameters, and light plane parameters using a single set of images. This process eliminates the reliance on repeated target repositioning required by traditional methods and achieves parameter unification directly through the geometric transformation of feature point clouds, realizing the integration of calibration and measurement. Validated through scanning experiments on standard aluminum oxide plates and non-standard aluminum alloy components, the results demonstrate that under standard industrial conditions, the system’s dimensional measurement error is controlled within ±0.5 mm, the average 3D reconstruction accuracy reaches ±0.25 mm, and the peak error rate is below 2.67%. The proposed method effectively overcomes the reliance on manual assistance, significantly reducing operational complexity and improving inspection efficiency while ensuring high precision. It provides an efficient, low-cost, and fully automated solution for industrial measurement, reverse engineering, and surface morphology analysis. |
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