| 基于单目立体视觉的机床几何误差辨识方法 |
| A Monocular Stereo Vision-Based Geometric Error Identification Method for Machine Tools |
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| 中文摘要: |
| 针对视觉测量手段中成本与精度不能兼顾的问题，提出基于单目立体视觉的机床回转轴几何误差辨识方法。为实现回转轴全量程运动精确描述，基于误差放大思想，设计了基于周向均布精密哑光靶球的高匀、高精、高信噪比成像靶标。提出了单目立体成像光路参数仿真分析方法，定量分析并选取系统结构参数。基于单目立体标定结果，根据序列图像重建得到回转轴三维轨迹。精度验证及误差辨识实验表明：系统的RMSE为0.049 mm，小于平均偏差的1/3，满足测试需求。 |
| 英文摘要: |
| A monocular stereo vision-based geometric error identification method for machine tools rotary axes is proposed to consider both cost and accuracy of vision measurement. To accurately describe the full-range motion information of the rotary axes, an error amplification-based feature target with the precise low-reflection target balls in circumferential uniform distribution is designed to guarantee the high-uniformity, high-contrast, and high signal-to-noise ratio (SNR) imaging. A simulation analysis method for monocular stereo imaging optical path is proposed to quantitatively analyze and select system structure parameters. With the Zhang’s calibration results, the three-dimensional trajectories of rotary axes can be reconstructed from the acquired sequence images. The accuracy verification experiments and error identification results show that the root mean square error (RMSE) of 0.049 mm is less than 1/3 of the mean measurement error, satisfying the test requirements. |
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| 中文关键词: 机器视觉 三维重建 单目立体视觉 误差辨识 机床几何误差 |
| 英文关键词:machine vision 3D reconstruction monocular stereo vision error identification machine tool geometric errors |
| 基金项目: |
| DOI：10.11823/j.issn.1674-5795.2019.05.02 |
| 引用本文：潘翼, 王福吉, 刘巍, 李肖, 梁冰, 周孟德.基于单目立体视觉的机床几何误差辨识方法[J].计测技术,2019,39(5):. |
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