Rotation-Only Bundle Adjustment
Seong Hun Lee, Javier Civera
摘要
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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- HARA: A Hierarchical Approach for Robust Rotation AveragingSeong Hun Lee, Javier CiveraCVPR 2022 · 被引用 24 次
- The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature PositionsDominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard 等CVPR 2022 · 被引用 11 次
- 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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