手眼在线校准

N. Andreff, R. Horaud, B. Espiau
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引用次数: 83

摘要

研究了安装摄像机的机器人手眼标定问题。我们导出了这个问题的一个新的线性形式。这允许对通常方法不考虑的情况进行代数分析。我们将这个新公式扩展到一种在线手眼校准方法。该方法可以去除标准方法所需的校准对象,使用未知场景代替。实验结果验证了两种方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On-line hand-eye calibration
We address the problem of hand-eye calibration of a robot mounted video camera. We derive a new linear formulation of the problem. This allows an algebraic analysis of the cases that usual approaches do not consider. We extend this new formulation into an on-line hand-eye calibration method. This method allows to get rid of the calibration object required by the standard approaches and uses unknown scenes instead. Finally, experimental results validate both methods.
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