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A minimal solution for plane motion and structure from two perspective views

机译:从两个透视图看平面运动和结构的最小解决方案

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Plane motion and structure is a classical problem in photogrammetry and computer vision communities. While the methods based on the Singular Value Decomposition of the plane-induced homography matrix have been largely successful, they are subject to the special assumption about the bottom right entry or the determinant sign of the homography matrix. This paper proposes firstly an explicit closed-form solution for the homography using the normalized barycentric coordinates from four image point correspondences in general position. Then we use algebraic method to propose a minimal solution for the plane motion and structure problem. Further, we derive a concise closed-form relation between two solutions of the plane motion and structure. The performance and practicability of our method are validated by testing on synthetic and real data. (C) 2019 Elsevier B.V. All rights reserved.
机译:平面运动和结构是摄影测量学和计算机视觉社区中的经典问题。虽然基于平面诱发的单应性矩阵奇异值分解的方法已经取得了很大的成功,但是它们受到关于右下角项或单应性矩阵的行列式符号的特殊假设的约束。本文首先从一般位置的四个像点对应关系中使用归一化的重心坐标,提出了一种单应性的显式封闭形式解决方案。然后,我们使用代数方法为平面运动和结构问题提出了最小的解决方案。此外,我们推导了平面运动和结构的两个解之间的简洁的闭合形式关系。通过对合成数据和真实数据进行测试,验证了我们方法的性能和实用性。 (C)2019 Elsevier B.V.保留所有权利。

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