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Vision-based control using different cameras for learning the reference image and for servoing

机译:基于视觉控制使用不同摄像机学习参考图像和伺服的控制

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Most visual servoing schemes are based on the learning of a reference image with the same camera used for servoing. The scheme proposed in this paper differs from previous ones since it is independent on the camera used for learning. With the new scheme it is possible to position a camera (with eventually varying intrinsic parameters) with respect to a non-planar object given a reference image taken with a completely different camera. This promising approach has been successfully tested with an eye-in-hand robotic system.
机译:大多数可视伺服方案基于使用用于伺服的相同相机的参考图像的学习。本文提出的方案与以前的方案不同,因为它是独立于用于学习的相机。利用新方案,可以将相机(最终变化的内在参数)相对于非平面对象定位给出具有完全不同的相机的参考图像。这种有希望的方法已经成功地用侧重机器人系统进行了测试。

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