Viewing Graph Solvability in Practice
Federica Arrigoni, Tomás Pajdla, Andrea Fusiello
摘要
We present an advance in understanding the projective Structure-from-Motion, focusing in particular on the viewing graph: such a graph has cameras as nodes and fundamental matrices as edges. We propose a practical method for testing finite solvability, i.e., whether a viewing graph induces a finite number of camera configurations. Our formulation uses a significantly smaller number of equations (up to 400×) with respect to previous work. As a result, this is the only method in the literature that can be applied to large viewing graphs coming from real datasets, comprising up to 300K edges. In addition, we develop the first algorithm for identifying maximal finite-solvable components.
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引用它的顶会 Paper5
- Revisiting Global Translation Estimation with Feature TracksPeilin Tao, Hainan Cui, Mengqi Rong, Shuhan ShenCVPR 2024 · 被引用 3 次
- MGSfM: Multi-Camera Geometry Driven Global Structure-from-MotionPeilin Tao, Hainan Cui, Diantao Tu, Shuhan ShenICCV 2025 · 被引用 1 次
- Parallel Rigidity Matters for Bundle AdjustmentLalit Manam, Venu Madhav GovinduCVPR 2026
- Solvability of the Viewing Graph Under the Affine Camera ModelGabriele Pedroni, Rakshith Madhavan, Federica ArrigoniCVPR 2026
- On the Recovery of Cameras from Fundamental MatricesRakshith Madhavan, Federica ArrigoniICCV 2025
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