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Reconstruction of 3D-curves from 2D-images using affine shape methods for curves

机译:使用仿射形状方法从2D图像重建3D曲线

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In this paper, we propose an algorithm for doing reconstruction of general 3D-curves from a number of 2D-images taken by uncalibrated cameras. No point correspondences between the images are assumed. The curve and the view points are uniquely reconstructed, modulo common projective transformations and the point correspondence problem is solved. Furthermore, the algorithm is independent of the choice of coordinates, as it is based on orthogonal projections and aligning subspaces. The algorithm is based on an extension of affine shape of finite point configurations to more general objects.
机译:在本文中,我们提出了一种从未经校准的相机拍摄的2D图像中重建通用3D曲线的算法。假定图像之间没有点对应。独特地重构了曲线和视点,对常见的投影变换进行模运算,从而解决了点对应问题。此外,该算法独立于坐标的选择,因为它基于正交投影和对齐子空间。该算法基于将有限点配置的仿射形状扩展到更一般的对象。

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