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Proposal of visual servoing using phase-only-correlation (POC)

机译:使用仅相位相关(POC)的视觉伺服的提案

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Image-based visual servo using coordinates of feature points has been well discussed and used in many applications. However, these methods rely on the perfect matching of feature points, which is often difficult in an actual situation. Recently, visual servoing methods based on region informations such as mutual information and an image transformation matrix are proposed. While these methods can achieve more robust visual servoing, there is still some difficulties in how to extract and apply such information. In this paper, region based approach using Phase-Only-Correlation (POC), which is known as a subpixel image matching algorithm, is proposed. Although POC can be applied only in 4 DOF (degree of freedom) without X and Y axis rotation, it accomplishes robust and accurate positioning. We also reveal that the image jacobian, which is often difficult to estimate in realtime, can be written as time invariant matrix in 4 DOF with proposed control scheme.
机译:使用特征点坐标的基于图像的视觉伺服已经得到了很好的讨论,并在许多应用中得到了使用。但是,这些方法依赖于特征点的完美匹配,这在实际情况中通常很困难。近来,提出了基于诸如互信息和图像变换矩阵的区域信息的视觉伺服方法。尽管这些方法可以实现更强大的视觉伺服,但是在如何提取和应用此类信息方面仍然存在一些困难。在本文中,提出了一种基于相位的基于相位相关(POC)的方法,即子像素图像匹配算法。尽管POC只能在没有X和Y轴旋转的情况下以4自由度(自由度)应用,但是它可以实现可靠而精确的定位。我们还揭示了通常难以实时估计的图像雅可比图像,可以通过提出的控制方案写成4自由度中的时不变矩阵。

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