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Given points , we characterize rank deficiency of the matrix with rows in terms of the geometry of the point configurations and . While this question comes from computer vision the answer relies on tools from classical algebraic geometry: For , the geometry of the rank-drop locus is characterized by cross-ratios and basic (projective) geometry of point configurations. For the case the rank-drop locus is captured by the classical theory of cubic surfaces.

生成讲解博客的中文版本

生成AI智能校验的中文版本