Exterior Parameter Self-calibration of Camera for Robot Vision
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摘要: 摄像机标定是机器人视觉应用中的重要问题。针对摄像机固定的机器人视觉系统,提出一种摄像机外参数的自标定方法。该方法的基本思想是控制机器人末端沿基坐标系的3个坐标轴做3次平移运动,利用摄像机获取的图像信息,依据摄像机和机器人末端相对于基坐标系之间的位姿关系来计算摄像机的外参数。进一步,考虑测量噪声和计算噪声的影响,采用一种坐标轴正交归一化的方法对标定坐标系的方位进行修正。实验结果表明:该算法具有较好的精度和鲁棒性,可用于在线标定。Abstract: Camera calibration is an important element in the application of vision robot.A method of the exterior parameter self-calibration was presented for the robot vision system with a fixed camera.The basic principle of the proposed calibration method is to control the robot end undergo three sets tiny motions along three axes of the base frame respectively,then use the image information grabbed by the calibrated camera to calculate the exterior parameters based on the relationship between the camera matrix and the matrix of the robot end to the robot base frame.Moreover,taking into account the effect of measurement and calculation noises,an orthonormalizing adjustment was also given to correctct the calibrated rotation matrix's orthonormality and error.The method is proved to have a good performance of accuracy and robustness,and is feasible of on-line camera calibration with some experiments on synthetic and real image.
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Key words:
- vision robot /
- exterior parameter /
- self-calibration /
- orthonormalizing
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