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Camera calibration method for dimensional measurement of heavy forging in large scale

机译:大型锻件尺寸测量的摄像机标定方法

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Camera calibration method plays an important role in the stereovision system to resolve the problems of dimensional measurement of heavy forging. Due to the intensive vibrating, the camera parameters must be calibrated every time after the action of the water press. This paper presents a method using the scene geometry to calibrate cameras. In the context of heavy machinery environments, the constraints which can be used are parallelism and orthogonality. These constraints lead to geometrically intuitive methods to calibrate the cameras. The huge forging equipment such as water press belongs to geometrically constrained object and insusceptible to vibrating, which gives natural prior knowledge and constraint conditions for 3-D reconstruction. The method focuses on the calibration of the extrinsic parameters which are subject to change since the effects of the workspace factors. The intrinsic parameters were calibrated in advance by an off-line method and were assumed as invariable. The results of simulation experiments demonstrate that the camera parameters could be calibrated effectively and achieve the real time need.
机译:相机校准方法在立体视觉系统中扮演着重要角色,以解决重型锻件的尺寸测量问题。由于剧烈振动,每次按下水压按钮后,必须对摄像机参数进行校准。本文提出了一种使用场景几何来校准摄像机的方法。在重型机械环境中,可以使用的约束是并行性和正交性。这些限制导致了几何直观的方法来校准摄像机。巨大的锻造设备(例如水压机)属于受几何约束的对象,并且不易振动,这为3-D重建提供了自然的先验知识和约束条件。该方法着重于外部参数的校准,由于工作空间因素的影响,这些参数可能会发生变化。内部参数预先通过离线方法进行了校准,并被假定为不变的。仿真实验结果表明,可以对摄像机参数进行有效校准,达到实时性。

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