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Flexible method for accurate calibration of large-scale vision metrology system based on virtual 3-D targets and laser tracker

机译:基于虚拟3-D目标和激光跟踪器的大型视觉计量系统精确校准灵活的方法

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For the purpose of obtaining high-precision in stereo vision calibration, a large-size precise calibration target, which can cover more than half of the field of view is vital. However, large-scale calibration targets are very difficult to fabricate. Based on the idea of error tracing, a high-precision calibration method for vision system with large field of view by constructing a virtual 3-D calibration target with a laser tracker was proposed in this article. A virtual 3-D calibration target that covers the whole measurement space can be established flexibly and the measurement precision of the vision system can be traceable to the laser tracker. First, virtual 3-D targets by calculating rigid body transformation with unit quaternion method were constructed. Then, the high-order distortion camera model was taken into consideration. Besides, the calibration parameters were solved with Levenberg–Marquardt optimization algorithm. In the experiment, a binocular stereo vision system with the field of view of 4 × 3 × 2 m3 was built for verifying the validity and precision of the proposed calibration method. It is measured that the accuracy with the proposed method can be greatly improved comparing with traditional plane calibration method. The method can be widely used in industrial applications, such as in the field of calibrating large-scale vision-based coordinate metrology, and six-degrees of freedom pose tracking system for dimensional measurement of workpiece, as well as robotics geometrical accuracy detection and compensation.
机译:为了获得立体声视觉校准中的高精度,大尺寸精确的校准目标,可以覆盖超过一半的视野是至关重要的。然而,大规模的校准靶标非常难以制造。基于误差跟踪的概念,本文提出了通过构造具有激光跟踪器的虚拟3-D校准目标的大视野的高精度校准方法。可以灵活地建立覆盖整个测量空间的虚拟3-D校准目标,并且视觉系统的测量精度可以可追溯到激光跟踪器。首先,构造了通过计算单位四元膜方法的刚体变换来计算虚拟3-D目标。然后,考虑了高阶失真相机模型。此外,用Levenberg-Marquardt优化算法解决了校准参数。在实验中,建立了具有4×3×2 M3的视野的双目立体声视觉系统,用于验证所提出的校准方法的有效性和精度。测量与传统平面校准方法相比,可以大大改善所提出的方法的准确性。该方法可广泛用于工业应用中,例如校准大规模视觉坐标计量的领域,以及用于工件的尺寸测量的六度自由姿态跟踪系统,以及机器人几何精度检测和补偿。

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