Research map / Point clouds / Registration and matching
SDRSAC: Semidefinite-Based Randomized 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 sample sizes below 16 rather than a larger-than-minimal sample around 16 (ablation) | SDRSAC · Synthetic point cloud registration, p_I ≈ 30% | consensus size | Hurt |
| Increase the sampled subset size to around 16 (ablation) | SDRSAC · Synthetic point cloud registration, p_I ≈ 30% | stability and consensus size | Helped |
| Increase m (ablation) | SDRSAC · Synthetic point clouds with 10% outliers | consensus size | No clear effect |
| Increase m (ablation) | SDRSAC · Synthetic point clouds with 10% outliers | run time | Hurt |
| Use SDRSAC instead of competing registration methods | Point cloud registration without correspondences · Redwood real-data pairs | matches | Helped |
| Use larger-than-minimal subsets with SDP-based outlier rejection | SDRSAC · Synthetic point cloud registration across outlier ratios | matches | Helped |
Closest papers by meaning
- Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences (CVPR 2020 · similarity 0.91)
- A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization (NeurIPS 2024 · similarity 0.90)
- PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration (AAAI 2025 · similarity 0.89)
- PointMC: Multi-instance Point Cloud Registration based on Maximal Cliques (ICML 2024 · similarity 0.88)
- Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration (NeurIPS 2024 · similarity 0.88)
- Inlier Confidence Calibration for Point Cloud Registration (CVPR 2024 · similarity 0.88)
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.