Research map / 3D vision / Human pose estimation
Camera Pose Estimation With Unknown Principal Point
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Estimate pose with unknown principal point and radial distortion using P7Pfruv | Camera pose estimation · NotreDame dataset (81 images) | mean relative focal length error: 0.0242 -> 0.0211 | Helped |
| Estimate pose with unknown principal point and radial distortion using P7Pfruv | Camera pose estimation · NotreDame dataset (81 images) | mean rotation error: 1.2067 -> 0.9005 | Helped |
| Estimate pose with unknown principal point and radial distortion using P7Pfruv | Camera pose estimation · NotreDame dataset (81 images) | mean inlier: 88.0265 -> 93.2453 | Helped |
| Estimate pose with unknown principal point and radial distortion using P7Pfruv | Camera pose estimation · NotreDame dataset (principal point shift > 6%, 32 images) | mean relative focal length error: 0.0295 -> 0.0192 | Helped |
| Estimate pose with unknown principal point and radial distortion using P7Pfruv | Camera pose estimation · NotreDame dataset (principal point shift > 6%, 32 images) | mean rotation error: 1.6485 -> 0.8759 | Helped |
| Estimate pose with unknown principal point and radial distortion using P7Pfruv | Camera pose estimation · NotreDame dataset (principal point shift > 6%, 32 images) | mean inlier: 89.4821 -> 93.0248 | Helped |
| Model the shifted principal point and radial distortion with P7Pfruv | Camera pose estimation · Cropped Rotunda dataset (248 images) | mean relative focal length error: 0.0845 -> 0.0012 | Helped |
| Model the shifted principal point and radial distortion with P7Pfruv | Camera pose estimation · Cropped Rotunda dataset (248 images) | mean rotation error: 13.6371 -> 0.2558 | Helped |
| Model the shifted principal point and radial distortion with P7Pfruv | Camera pose estimation · Cropped Rotunda dataset (248 images) | mean inlier: 40.46 -> 96.78 | Helped |
Closest papers by meaning
- FAR: Flexible Accurate and Robust 6DoF Relative Camera Pose Estimation (CVPR 2024 · similarity 0.85)
- From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation (CVPR 2024 · similarity 0.85)
- Efficient Solution of Point-Line Absolute Pose (CVPR 2024 · similarity 0.85)
- Practical Solutions to the Relative Pose of Three Calibrated Cameras (CVPR 2025 · similarity 0.84)
- UNOPose: Unseen Object Pose Estimation with an Unposed RGB-D Reference Image (CVPR 2025 · similarity 0.84)
- Camera Resection from Known Line Pencils and a Radially Distorted Scanline (CVPR 2025 · similarity 0.84)
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