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A robust self-calibration algorithm based on three views

机译:基于三个视图的鲁棒自校准算法

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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:我们基于三种观点提出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方程实现对焦点值的初始猜测。其次,根据绝对对偶二次方程,可以在线性方程中求解三个仿射参数。使用高斯-牛顿法代替了继续法来求解模量约束方程。最后,通过Cholesky分解获得整个相机固有参数。许多使用合成图像和真实图像进行的实验都表明,我们的方法是有效,可靠和准确的。

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