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About the correspondences of points between N images

机译:关于N个图像之间的点的对应关系

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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 3-D point.rnThey are of three types: bilinear relations arising when we consider pairs of images among the N and which are the well-known epipolar constraints, trilin-ear 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).rnFinally, we show that the quadrilinear relations are in the ideal generated by the bilinearities and trilinear-ities, and do not bring in any new information. This completes the algebraic description of correspondence between any number of cameras.
机译:我们从代数和几何的角度分析任意数量的图像之间的点的对应关系。我们使用Grassmann-Cayley代数的形式主义作为以非常综合和有效的方式做出几何和代数陈述的最简单方法(即,如果需要,可以进行实际计算)。我们提出了一种系统的方式来描述3-D点的图像坐标所满足的代数关系。它们具有三种类型:当我们考虑N中的图像对时产生的双线性关系,它们是-已知的对极约束,当我们考虑N中的图像的三元组时出现的Trilin-ear关系,以及当我们考虑N中的四元组图像时出现的四线性关系。此外,我们展示了两个三线性关系如何暗示双线性关系(即对极约束)。我们还展示了在给定其他两幅图像中的图像坐标的情况下,即使在对极约束的预测失败的情况下,这些三线性约束如何可用于预测第三幅图像中某点的图像坐标(即使最后,我们证明四线性关系在理想情况下是由双线性和三线性关系生成的,并且不会带来任何新信息。这样就完成了任意数量摄像机之间对应关系的代数描述。

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