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A robust self-calibration algorithm based on three views

机译:一种基于三视图的强大自校准算法

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We present a robust self-calibration route based on three views. First, we can achieve the initial guess of focal value by another form of Kruppa equation. Second, three affine parameters can be solved in linear equations according to the absolute dual quadric. Gauss-Newton method is applied to solve modulus constraint equation instead of continue method. At last the whole intrinsic camera parameters are obtained by Cholesky decomposition. Many experiments with both synthetic and real images show that our method is effective, robust and accurate.
机译:我们基于三次视图提供了一种强大的自校准路线。首先,我们可以通过另一种形式的KRUPPA方程来实现焦点值的初始猜测。其次,根据绝对双二次标记,可以在线性方程中解决三个仿射参数。高斯 - 牛顿方法应用于解决模量约束方程而不是继续方法。最后,整个内在的相机参数都是通过Cholesky分解获得的。许多与合成和真实图像的实验表明,我们的方法是有效的,稳健和准确的。

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