mlsanityData to 7 Oct 2026

Rotation-Only Bundle Adjustment

arXiv 2011.11724 ↗First posted 23 Nov 2020cs.CVcited by 12

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Abstract (arXiv)

We propose a novel method for estimating the global rotations of the cameras independently of their positions and the scene structure. When two calibrated cameras observe five or more of the same points, their relative rotation can be recovered independently of the translation. We extend this idea to multiple views, thereby decoupling the rotation estimation from the translation and structure estimation. Our approach provides several benefits such as complete immunity to inaccurate translations and structure, and the accuracy improvement when used with rotation averaging. We perform extensive evaluations on both synthetic and real datasets, demonstrating consistent and significant gains in accuracy when used with the state-of-the-art rotation averaging method.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). First posted on arXiv 23 Nov 2020.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 4; 2023: 0; 2024: 2; 2025: 2; 2026: 2.

12 papers.