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Camera calibration with a near-parallel (ill-conditioned) calibration board configuration

机译:使用近乎平行(病态)的校准板配置进行相机校准

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摘要

Tsai's radial alignment constraint (RAC) method has been shown as a viable candidate for camera calibration. The solution procedure, however, will fail if the camera plane is parallel to the plane defined by a calibration board which is used to provide calibration data. Tsai also devised an algorithm that handled the exactly parallel case. In this paper, we show that by a slight modification of the RAC-based camera calibration method, the unknown parameters of the camera can still be calibrated even when the sensor plane is near-parallel to the camera calibration board. An application example of the proposed approach is the calibration of a selectively compliant assembly robot arm (SCARA) with a hand-mounted camera, where the extrinsic parameters need to be repeatedly calibrated to reconstruct robot end-effector poses at various robot measurement configurations.
机译:蔡(蔡)的径向对准约束(RAC)方法已被证明是相机校准的可行选择。但是,如果摄像机平面与用于提供校准数据的校准板所定义的平面平行,则解决程序将失败。蔡还设计了一种算法,可以处理完全并行的情况。在本文中,我们表明,通过稍微修改基于RAC的相机校准方法,即使传感器平面与相机校准板几乎平行,相机的未知参数仍然可以进行校准。提出的方法的一个应用示例是使用手持式摄像机对选择性兼容的装配机器人手臂(SCARA)进行校准,其中需要重复校准外部参数,以重建各种机器人测量配置下的机器人末端执行器姿势。

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