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Camera calibration method based on circular ring

机译:基于圆环的摄像机标定方法

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摘要

A novel camera calibration method based on circular ring is proposed in this paper. It has been proven that the first two columns of calculated point transfer homography mapping from the circular ring plane to the image plane have one isometric ambiguity. But in that case the restriction of homography on the IAC (the image of absolute conic) is still tenable, so the restriction could be applied to the calibration of the internal camera parameters. The ambiguity of the first two columns of homography directly results in the isometric ambiguity of the rotation matrix which can be explained in geometry as the isotropy of circular ring. But the third column of homography has no ambiguity, so the unique of which could not lead to the ambiguity of the translation vector. The external camera parameters can be calibrated using circular ring while there is a discrepancy of isometric transformation of rotation matrix within the model plane, which is most distinguished from the principle of the other plane-based calibration method such as points, lines and multiple conies. The proposed method has two distinctly superiority over the calibration based on coplanar points or lines: Better noise immunity because of the global property of the circular ring feature, and automatic calibration because the image matching of the circular ring feature is much easier compared with the one of points or lines. Both simulation and real data are used to prove the correctness, high accuracy and robustness of our calibration method.
机译:提出了一种新的基于圆环的摄像机标定方法。已经证明,从圆环平面到像平面的计算的点转移单应性映射的前两列具有一个等距歧义。但是在那种情况下,对IAC(绝对圆锥图像)的单应性限制仍然成立,因此该限制可以应用于内部摄像机参数的校准。单应性的前两列的歧义直接导致旋转矩阵的等距歧义,这在几何上可以解释为圆环的各向同性。但是单应性的第三列没有歧义,因此其唯一性不会导致翻译向量的歧义。当模型平面内旋转矩阵的等距变换存在差异时,可以使用圆环来校准外部摄像机参数,这与其他基于平面的校准方法(例如点,线和多个圆锥形)的原理最为不同。与基于共面点或线的校准相比,所提出的方法具有两个明显的优势:由于圆环特征的全局特性,具有更好的抗噪性;由于与圆环特征相比,图像匹配更容易,因此具有自动校准的优势。点或线。仿真和实际数据均用于证明我们校准方法的正确性,高精度和鲁棒性。

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