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Extracting physical camera parameters from the 3x3 direct linear transformation matrix

机译:从3x3直接线性变换矩阵中提取物理摄像机参数

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Abstract: The projective transformation of 3D object points to 2D image points can be expressed in homogeneous coordinates by the 3 by 4 direct linear transformation (DLT) matrix. If the object points are coplanar, the transformation can be expressed by the 3 by 3 DLT matrix. This article presents non-iterative, fast and exact methods for extracting the physical camera parameters from the 3 by 3 matrix. Three parameters must be known or estimated in order to extract the remaining eight. The decomposition problem is solved under three different assumptions about known parameters. All three methods are based on solving two quadratic equations in two unknowns. The equations originate from the orthogonality constraints on the first two columns of the rotation matrix. The methods are well suited for finding initial values in point based camera calibration. They solve the coplanar perspective-n-point problem for any n $GREQ 4. !12
机译:摘要:3D目标点到2D图像点的投影变换可以通过3×4直接线性变换(DLT)矩阵在同构坐标中表示。如果目标点是共面的,则可以用3 x 3 DLT矩阵表示变换。本文介绍了从3 x 3矩阵中提取物理相机参数的非迭代,快速和精确方法。为了提取其余八个参数,必须知道或估计三个参数。在关于已知参数的三个不同假设下解决了分解问题。所有这三种方法都基于求解两个未知数中的两个二次方程。这些方程式源自旋转矩阵前两列的正交性约束。该方法非常适合在基于点的相机校准中查找初始值。他们解决了任何n个$ GREQ 4的共面透视点问题。!12

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