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Global Calibration of Multiple Cameras Based on Sphere Targets

机译:基于球体目标的多台摄像机的全局校准

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Global calibration methods for multi-camera system are critical to the accuracy of vision measurement. Proposed in this paper is such a method based on several groups of sphere targets and a precision auxiliary camera. Each camera to be calibrated observes a group of spheres (at least three), while the auxiliary camera observes all the spheres. The global calibration can be achieved after each camera reconstructs the sphere centers in its field of view. In the process of reconstructing a sphere center, a parameter equation is used to describe the sphere projection model. Theoretical analysis and computer simulation are carried out to analyze the factors that affect the calibration accuracy. Simulation results show that the parameter equation can largely improve the reconstruction accuracy. In the experiments, a two-camera system calibrated by our method is used to measure a distance about 578 mm, and the root mean squared error is within 0.14 mm. Furthermore, the experiments indicate that the method has simple operation and good flexibility, especially for the onsite multiple cameras without common field of view.
机译:多摄像机系统的全局校准方法对于视觉测量的准确性至关重要。本文提出了一种基于几组球体目标和精密辅助摄像机的方法。每个要校准的摄像机都观察一组球体(至少三个),而辅助摄像机则观察所有球体。在每个摄像机重建其视场中的球体中心之后,即可实现全局校准。在重建球心的过程中,使用参数方程来描述球投影模型。进行了理论分析和计算机仿真,以分析影响校准精度的因素。仿真结果表明,参数方程可以大大提高重建精度。在实验中,通过我们的方法校准的两相机系统用于测量约578 mm的距离,并且均方根误差在0.14 mm之内。此外,实验表明,该方法操作简单,灵活性好,特别适用于现场没有通用视野的多台摄像机。

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