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Sequences Images Based Camera Self-calibration Method

机译:基于序列图像的相机自校准方法

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摘要

Camera self-calibration is one of the key technologies in 3D reconstruction. In this paper a new Camera Self-Calibration method is proposed which is based on image sequence, in addition, the intrinsic camera parameters are varying. This method based on Kruppa equations, by two upper triangular matrixes must exist a relational matrix, make the varying focal length convert to the relational matrix, thus use the epipolar geometry relationship of absolute conic to get the intrinsic camera parameters. Experimental results show that the method is a high precision, robustness strong self-calibration.
机译:相机自校准是3D重建中的关键技术之一。本文提出了一种新的基于图像序列的相机自校准方法,此外,相机的固有参数是变化的。该方法基于Kruppa方程,由两个上三角矩阵必须存在一个关系矩阵,将变化的焦距转换为关系矩阵,从而利用绝对圆锥的对极几何关系来获得相机固有的参数。实验结果表明,该方法是一种高精度,鲁棒性强的自校准方法。

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