Research map / 3D vision / Depth and stereo
Rolling Shutter Camera Relative Pose: Generalized Epipolar Geometry
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the linear rolling-shutter camera model instead of a global-shutter camera model | Relative pose estimation · Synthetic correspondences with increasing Gaussian noise | rotation and translation estimation error | Helped |
| Increase Gaussian correspondence noise | Linear rolling-shutter relative pose estimation · Synthetic correspondences | rotation and translation estimation error | Hurt |
| Use a smaller focal length | Rolling-shutter relative pose estimation · Synthetic correspondences with noise 2 × 10−3 | motion estimation error | Helped |
| Increase camera motion velocity | Linear rolling-shutter relative pose estimation · Synthetic correspondences with noise 5 × 10−3 | pose estimation error | Helped |
| Use the uniform rolling-shutter model instead of the global-shutter model | Relative pose estimation · Synthetic RS sequence house trans rot1 B40 | rotation estimation error | Helped |
| Use rolling-shutter Sampson error instead of global-shutter Sampson error | Relative pose refinement · Real RS image pairs | Sampson error | Helped |
| Use a linear solver rather than nonlinear optimization | Rolling-shutter essential matrix estimation · Synthetic measurements with increasing noise | essential matrix estimation error | Hurt |
Closest papers by meaning
- Order-One Rolling Shutter Cameras (CVPR 2025 · similarity 0.91)
- Rolling Shutter Absolute Pose Problem With Known Vertical Direction (CVPR 2016 · similarity 0.88)
- From Two Rolling Shutters to One Global Shutter (CVPR 2020 · similarity 0.88)
- Scanline Homographies for Rolling-Shutter Plane Absolute Pose (CVPR 2022 · similarity 0.87)
- Practical Solutions to the Relative Pose of Three Calibrated Cameras (CVPR 2025 · similarity 0.83)
- From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation (CVPR 2024 · similarity 0.82)
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