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Affine structure from line correspondences with uncalibrated affine cameras

机译:通过未校准仿射相机的线对应的仿射结构

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摘要

This paper presents a linear algorithm for recovering 3D affine shape and motion from line correspondences with uncalibrated affine cameras. The algorithm requires a minimum of seven line correspondences over three views. The key idea is the introduction of a one-dimensional projective camera. This converts 3D affine reconstruction of "line directions" into 2D projective reconstruction of "points". In addition, a line-based factorization method is also proposed to handle redundant views. Experimental results both on simulated and real image sequences validate the robustness and the accuracy of the algorithm.
机译:本文提出了一种线性算法,可使用未经校准的仿射相机从直线对应关系中恢复3D仿射形状和运动。该算法要求在三个视图上至少有七个线对应。关键思想是引入一维投影相机。这将“线方向”的3D仿射重构转换为“点”的2D投影重构。另外,还提出了基于行的分解方法来处理冗余视图。在模拟和真实图像序列上的实验结果验证了算法的鲁棒性和准确性。

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