Rotation-Only Bundle Adjustment
November 23, 2020 Β· Declared Dead Β· π Computer Vision and Pattern Recognition
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Authors
Seong Hun Lee, Javier Civera
arXiv ID
2011.11724
Category
cs.CV: Computer Vision
Citations
20
Venue
Computer Vision and Pattern Recognition
Last Checked
4 months ago
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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