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Estimation of geometric parameters in 3D reconstruction problems using linear matrix inequalities

机译:使用线性矩阵不等式估算3D重建问题中的几何参数

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This paper proposes methods for estimating geometrical parameters, such as coordinate vectors of feature points, camera positions, camera orientations, and so on, in 3D reconstruction problems. In particular, we consider the following two problems: for given camera projection matrices and coordinate vectors of projected feature points on the image planes, find coordinate vectors of feature points; and, for given coordinate vectors of feature points and coordinate vectors of projected feature points on image planes, find camera projection matrices. These problems are formulated as the matrix optimization problem of finding the matrix that minimizes the matrix norm of a certain matrix. The matrix optimization problem is reduced to a convex optimization problem with linear matrix inequalities (LMI), which is widely used in control engineering. The proposed method is evaluated through numerical examples.
机译:本文提出了估计3D重建问题中几何参数的方法,例如特征点的坐标矢量,相机位置,相机方向等。特别地,我们考虑以下两个问题:对于给定的相机投影矩阵和图像平面上的投影特征点的坐标矢量,找到特征点的坐标矢量;对于给定的特征点坐标矢量和投影特征点在图像平面上的坐标矢量,找到相机投影矩阵。这些问题被表述为找到使某个矩阵的矩阵范数最小的矩阵的矩阵优化问题。矩阵优化问题被简化为具有线性矩阵不等式(LMI)的凸优化问题,在控制工程中得到了广泛的应用。通过数值算例对提出的方法进行了评价。

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