Research map / 3D vision / Depth and stereo
Four-View Geometry With Unknown Radial Distortion
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the 13-point quadrifocal solver instead of the 15-point linear solver | Radial-camera pose estimation · Real datasets, Average | success rate: 0.17 -> 0.24 | Helped |
| Use the 13-point implicit formulation instead of the 15-point linear solver | Radial-camera pose estimation · Real datasets, Average | success rate: 0.17 -> 0.25 | Helped |
| Use the 13-point solver instead of the 15-point linear solver | Radial-camera pose estimation · Kirchenge | success rate: 0.19 -> 0.29 | Helped |
| Use the 13-point solver instead of the 15-point linear solver | Radial-camera pose estimation · Pipes | success rate: 0.38 -> 0.50 | Helped |
| Use the implicit rather than explicit 13-point formulation (ablation) | 13-point radial-camera solver · Synthetic noiseless minimal problems | failure rate: 0.20% -> 29.35% | Hurt |
| Use the implicit rather than explicit 13-point formulation (ablation) | 13-point radial-camera solver · Real datasets, Average | success rate: 0.24 -> 0.25 | Helped |
| Apply the 7-point upright solver when the upright assumption holds | Radial-camera pose estimation · Electro | success rate: 0.16 -> 0.25 | Helped |
| Apply the 7-point upright solver to non-upright data | Radial-camera pose estimation · Kirchenge | success rate: 0.29 -> 0.02 | Hurt |
| Use any proposed minimal solver rather than the 15-point linear solver under image noise | Radial-camera pose estimation · Synthetic data with image noise | success rate | Helped |
| Use the 7-point upright solver with small deviations from upright | Radial-camera pose estimation · Synthetic data, α = 1° | success rate: more than 40% | Mixed |
Closest papers by meaning
- Practical Solutions to the Relative Pose of Three Calibrated Cameras (CVPR 2025 · similarity 0.89)
- PRaDA: Projective Radial Distortion Averaging (CVPR 2025 · similarity 0.88)
- From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation (CVPR 2024 · similarity 0.87)
- Minimal Perspective Autocalibration (CVPR 2024 · similarity 0.86)
- Relative Pose Estimation through Affine Corrections of Monocular Depth Priors (CVPR 2025 · similarity 0.85)
- Camera Resection from Known Line Pencils and a Radially Distorted Scanline (CVPR 2025 · similarity 0.85)
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