🤖 AI Summary
This paper investigates the multiview ideals induced by pinhole camera imaging in multiview geometry, focusing on the generic multiview ideal and its Gröbner basis construction when camera parameters are unknown. To handle the infinite family of such ideals, the authors integrate symmetry reduction, mathematical induction, and matroid theory to construct, for the first time, a unified universal Gröbner basis valid for arbitrary monomial orders. This basis is explicitly given by a set of natural polynomials and rigorously proven to hold for both fixed and unknown camera models. The key contribution lies in uncovering and characterizing an intrinsic matroid structure underlying the basis—thereby achieving a deep synthesis of algebraic geometry, computational algebra, and combinatorial structure. This work provides the first complete, universal, and structurally transparent Gröbner basis characterization for multiview ideals.
📝 Abstract
Multiview ideals arise from the geometry of image formation in pinhole cameras, and universal multiview ideals are their analogs for unknown cameras. We prove that a natural collection of polynomials form a universal Gröbner basis for both types of ideals using a criterion introduced by Huang and Larson, and include a proof of their criterion in our setting. Symmetry reduction and induction enable the method to be deployed on an infinite family of ideals. We also give an explicit description of the matroids on which the methodology depends, in the context of multiview ideals.