Compatibility of Fundamental Matrices for Complete Viewing Graphs
Martin Bråtelund, Felix Rydell
摘要
This paper studies the problem of recovering cameras from a set of fundamental matrices. A set of fundamental matrices is said to be compatible if a set of cameras exists for which they are the fundamental matrices. We focus on the complete graph, where fundamental matrices for each pair of cameras are given. Previous work has established necessary and sufficient conditions for compatibility as rank and eigenvalue conditions on the n-view fundamental matrix obtained by concatenating the individual fundamental matrices. In this work, we show that the eigenvalue condition is redundant in the generic and collinear cases. We provide explicit homogeneous polynomials that describe necessary and sufficient conditions for compatibility in terms of the fundamental matrices and their epipoles. In this direction, we find that quadruple-wise compatibility is enough to ensure global compatibility for any number of cameras. We demonstrate that for four cameras, compatibility is generically described by triple-wise conditions and one additional equation involving all fundamental matrices.
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引用它的顶会 Paper3
- Solvability of the Viewing Graph Under the Affine Camera ModelGabriele Pedroni, Rakshith Madhavan, Federica ArrigoniCVPR 2026
- Minimal Perspective AutocalibrationAndrea Porfiri Dal Cin, Timothy Duff, Luca Magri, Tomás PajdlaCVPR 2024
- On the Recovery of Cameras from Fundamental MatricesRakshith Madhavan, Federica ArrigoniICCV 2025
它引用的顶会 Paper4
- PLMP - Point-Line Minimal Problems in Complete Multi-View VisibilityTimothy Duff, Kathlén Kohn, Anton Leykin, Tomás PajdlaICCV 2019 · 被引用 43 次
- Algebraic Characterization of Essential Matrices and Their Averaging in Multiview SettingsYoni Kasten, Amnon Geifman, Meirav Galun, Ronen BasriICCV 2019 · 被引用 35 次
- Viewing Graph Solvability via Cycle ConsistencyFederica Arrigoni, Andrea Fusiello, Elisa Ricci, Tomás PajdlaICCV 2021 · 被引用 15 次
- Averaging Essential and Fundamental Matrices in Collinear Camera SettingsAmnon Geifman, Yoni Kasten, Meirav Galun, Ronen BasriCVPR 2020
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