Research map / Point clouds / Registration and matching
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences
Check your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use feature-metric registration instead of LM-ICP | Ours · 7Scenes | rotation error (°): 12.7 -> 0.004 | Helped |
| Use feature-metric registration instead of 3DSmoothNet | Ours · 7Scenes | translation error: 0.05 -> 0.002 | Helped |
| Use feature-metric registration instead of PointNetLK | Ours · 7Scenes | rotation error (°): 15.3 -> 0.004 | Helped |
| Use feature-metric registration instead of PointNetLK | Ours · 7Scenes | translation error: 0.92 -> 0.002 | Helped |
| Use feature-metric registration instead of PointNetLK | Ours · Point clouds with around 12K points | time (s): 2.4 -> 1.3 | Helped |
| Train using Chamfer loss only, omitting the supervised geometric loss (ablation) | Feature-metric registration · ModelNet40 | registration error | Helped |
Closest papers by meaning
- Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework (AAAI 2025 · similarity 0.89)
- Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration (NeurIPS 2024 · similarity 0.88)
- FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators (ICLR 2024 · similarity 0.88)
- A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization (NeurIPS 2024 · similarity 0.88)
- PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration (AAAI 2025 · similarity 0.87)
- Multi-scale Consistency for Robust 3D Registration via Hierarchical Sinkhorn Tree (NeurIPS 2024 · similarity 0.87)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.