Rotation-Only Bundle Adjustment
Seong Hun Lee, Javier Civera
Abstract
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.
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Install the CLIlune papers fulltext 80f0c6b6-8236-4f07-a580-d35ea25638edCited by top-tier papers4
- HARA: A Hierarchical Approach for Robust Rotation AveragingSeong Hun Lee, Javier CiveraCVPR 2022 · 24 citations
- The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature PositionsDominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard et al.CVPR 2022 · 11 citations
- Full-DoF Egomotion Estimation for Event Cameras Using Geometric SolversJi Zhao, Banglei Guan, Zibin Liu, Laurent KneipCVPR 2025
- A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial InitializationYijia He, Bo Xu, Zhanpeng Ouyang, Hongdong LiCVPR 2023
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