About the correspondences of points between N images

O. Faugeras, B. Mourrain
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引用次数: 31

Abstract

We analyze the correspondence of points between an arbitrary number of images, from an algebraic and geometric point of view. We use the formalism of the Grassmann-Cayley algebra as the simplest way to make both geometric and algebraic statements in a very synthetic and effective way (i.e. allowing actual computation if needed). We propose a systematic way to describe the algebraic relations which are satisfied by the coordinates of the images of a 3D point. They are of three types: bilinear relations arising when we consider pairs of images among the N and which are the well-known epipolar constraints, trilinear relations arising when we consider triples of images among the N, and quadrilinear relations arising when we consider four-tuples of images among the N. Moreover, we show how two trilinear relations imply the bilinear ones (i.e. the epipolar constraints). We also show how these trilinear constraints can be used to predict the image coordinates of a point in a third image, given the coordinates of the images in the other two images, even in cases where the prediction by the epipolar constraints fails (points in the trifocal plane, or optical centers aligned). Finally, we show that the quadrilinear relations are in the ideal generated by the bilinearities and trilinearities, and do not bring in any new information. This completes the algebraic description of correspondence between any number of cameras.
关于N个图像之间点的对应关系
我们从代数和几何的角度分析任意数目的图像之间点的对应关系。我们使用Grassmann-Cayley代数的形式作为最简单的方法,以一种非常综合和有效的方式做出几何和代数陈述(即,如果需要,允许实际计算)。我们提出了一种系统的方法来描述三维点的图像坐标所满足的代数关系。它们有三种类型:当我们考虑N对图像时产生的双线性关系,即众所周知的近极约束,当我们考虑N对图像时产生的三重关系,以及当我们考虑N对图像的四元组时产生的四线性关系。此外,我们展示了两个三线性关系如何暗示双线性关系(即近极约束)。我们还展示了如何使用这些三线性约束来预测第三张图像中点的图像坐标,给定其他两张图像中的图像坐标,即使在极极约束预测失败的情况下(三焦平面中的点,或光学中心对齐)。最后,我们证明了四线性关系是由双线性和三线性产生的理想关系,并且没有引入任何新的信息。这样就完成了任意数量摄像机之间对应关系的代数描述。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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