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Camera calibration method of optical system for large field measurement of hot forgings in heavy industry

机译:重工业热锻件大场测量光学系统相机标定方法

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During the manufacturing process of heavy forgings, simple contact measuring techniques are still used to check thedimensions, therefore an optical measuring system is in demand. In this paper, a camera calibration method for the passivemeasuring system, which is being developed in collaboration with an industrial partner, is proposed. Our approach is basedon space resection and works with robust coded targets, which are distributed in the field of view. The coordinates oftargets are measured using TRITOP (GOM) measuring system. This solution allows to build a large calibration field,without a need of large calibration objects. The camera calibration works in 2 steps - at first, the intrinsic parameters ofthe camera, including lens distortion, are calibrated. These parameters are considered as stable, due to the use of specialcamera covers. Multi-image version of the calibration method and dense field of calibration targets are used. The secondstep is performed from every image and employs a single-image extrinsic camera parameters calibration method. Only afew coded calibration targets, mounted on stable objects in the scene, are required. The calibration method was tested inindustrial conditions. The method showed great results, the average reprojection error was under 0.1 px. The effect ofthermally affected zone on the calibration process is discussed.
机译:在重型锻件的制造过程中,仍然使用简单的接触测量技术来检查锻件的形状。 尺寸,因此需要光学测量系统。本文针对无源摄像机的标定方法 提出了与工业合作伙伴合作开发的测量系统。我们的方法是基于 与空间切除有关,并与坚固的编码目标配合使用,这些目标分布在视场中。的坐标 使用TRITOP(GOM)测量系统测量目标。该解决方案可以建立一个较大的校准场, 无需大型校准对象。相机校准分为两个步骤-首先, 包括镜头变形在内的相机均已校准。由于使用了特殊参数,这些参数被认为是稳定的 相机盖。使用了校准方法的多图像版本和校准目标的密集区域。第二 从每个图像执行步骤,并采用单图像外部相机参数校准方法。只有一个 只需很少的编码校准目标,即可安装在场景中的稳定物体上。校准方法在 工业条件。该方法显示了很好的效果,平均重投影误差在0.1 px以下。的效果 讨论了校准过程中受热影响的区域。

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