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Twisted Cubic: Degeneracy Degree and Relationship with General Degeneracy

机译:扭曲立方:退化程度及其与一般退化的关系

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Fundamental matrix, drawing geometric relationship between two images, plays an important role in 3-dimensional computer vision. Degenerate configurations of space points and two camera optical centers affect stability of computation for fundamental matrix. In order to robustly estimate fundamental matrix, it is necessary to study these degenerate configurations. We analyze all possible degenerate configurations caused by twisted cubic and give the corresponding degenerate rank for each case. Relationships with general degeneracies, the previous ruled quadric degeneracy and the homography degeneracy, are also reported in theory, where some interesting results are obtained such as a complete homography relation between two views. Based on the result of the paper, by applying RANSAC for degenerate data, we could obtain more robust estimations for fundamental matrix.
机译:基本矩阵绘制了两个图像之间的几何关系,在3维计算机视觉中起着重要作用。空间点的简并配置和两个相机光学中心会影响基本矩阵的计算稳定性。为了稳健地估计基本矩阵,有必要研究这些简并配置。我们分析了由立方扭曲引起的所有可能的简并构型,并为每种情况给出了相应的简并等级。理论上也报道了与一般简并关系,先前的规则二次简并和单应性简并关系,其中获得了一些有趣的结果,例如两个视图之间的完整单应性关系。基于本文的结果,通过将RANSAC应用于简并数据,我们可以获得基本矩阵的更可靠的估计。

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