Revisiting Rotation Averaging: Uncertainties and Robust Losses
Ganlin Zhang, Viktor Larsson, Daniel Barath
2023Year
4Top-tier citations
Abstract
Rotation error = 0.05 • , Translation error = 6.30 • (b) Uncertainty = 7.61 Rotation error = 4.81 • , Translation error = 21.12 • Figure 1. Two example pairs where, even though the relative pose estimation found a large number of correct inliers (shown by green line segments), the quality of the estimated poses differs greatly. The uncertainties, used as weighting terms, help in rotation averaging to account for this quality difference. Here, the shown numbers as the uncertainties are the traces of the covariance matrices.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers4
- Revisiting Global Translation Estimation with Feature TracksPeilin Tao, Hainan Cui, Mengqi Rong, Shuhan ShenCVPR 2024 · 3 citations
- Certifiably Optimal Anisotropic Rotation AveragingCarl Olsson, Yaroslava Lochman, Johan Malmport, Christopher ZachICCV 2025 · 2 citations
- MGSfM: Multi-Camera Geometry Driven Global Structure-from-MotionPeilin Tao, Hainan Cui, Diantao Tu, Shuhan ShenICCV 2025 · 1 citation
- Learning to Filter Outlier Edges in Global SfMNicole Damblon, Marc Pollefeys, Daniel BarathCVPR 2025
Builds on1
Related papers
- Rotation-Only Bundle AdjustmentSeong Hun Lee, Javier CiveraCVPR 2021
- Sensitivity in Translation AveragingLalit Manam, Venu Madhav GovinduNeurIPS 2023 · 16 citations
- MMA: Multi-Camera Based Global Motion AveragingHainan Cui, Shuhan ShenAAAI 2022 · 7 citations
- Pose Synchronization under Multiple Pair-wise Relative PosesYifan Sun, Qixing HuangCVPR 2023
- Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty PropagationHeng Yang, Marco PavoneCVPR 2023
