Research map / 3D vision / Depth and stereo
TRPLP - Trifocal Relative Pose From Lines at Points
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use three-view point-and-line correspondences with two oriented point tangents instead of relying on the traditional SfM pipeline | Trifocal pose estimation · Featureless mug dataset | triplets with estimated camera poses: 5 triplets -> 10 out of 20 | Helped |
| Specialize homotopy continuation to the generic Chicago problem | TRPLP Chicago solver · Synthetic trifocal pose | average runtime: over 1 minute -> 660ms | Helped |
| Estimate trifocal pose from SIFT point locations and orientations | TRPLP · EPFL dense multi-view stereo test image dataset | average reprojection error: 0.31 pixels | No clear effect |
Closest papers by meaning
- Practical Solutions to the Relative Pose of Three Calibrated Cameras (CVPR 2025 · similarity 0.89)
- From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation (CVPR 2024 · similarity 0.87)
- Simulator HC: Regression-based Online Simulation of Starting Problem-Solution Pairs for Homotopy Continuation in Geometric Vision (CVPR 2025 · similarity 0.87)
- PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis (ICML 2025 · similarity 0.86)
- Efficient Solution of Point-Line Absolute Pose (CVPR 2024 · similarity 0.86)
- Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis (NeurIPS 2024 · similarity 0.85)
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