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Reconstruction from Projections Using Grassmann Tensors

机译:使用Grassmann张量从投影重建

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摘要

In this paper a general method is given for reconstruction of a set of feature points in an arbitrary dimensional projective space from their projections into lower dimensional spaces. The method extends the methods applied in the well-studied problem of reconstruction of a set of scene points in P~3 given their projections in a set of images. In this case, the bifocal, trifocal and quadrifocal tensors are used to carry out this computation. It is shown that similar methods will apply in a much more general context, and hence may be applied to projections from p~n to p~m , which have been used in the analysis of dynamic scenes. For sufficiently many generic projections, reconstruction of the scene is shown to be unique up to projectivity, except in the case of projections onto one-dimensional image spaces (lines).
机译:在本文中,给出了一种通用方法,用于将任意维投影空间中的一组特征点从其投影转换为低维空间。该方法扩展了应用于在给定图像在一组图像中的投影的情况下重建P〜3中的一组场景点的深入研究的方法。在这种情况下,使用双焦点,三焦点和四焦点张量来执行此计算。结果表明,类似的方法将在更一般的情况下应用,因此可以应用于从p〜n到p〜m的投影,这些投影已用于动态场景分析。对于足够多的常规投影,场景的重建显示出在投影性方面是唯一的,除非是在一维图像空间(线)上进行投影。

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