Research map / Point clouds / Registration and matching
Coherent Point Drift Revisited for Non-Rigid Shape Matching and Registration
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use generalized probabilistic initialization from confident correspondences before GMM registration (ablation) | CPD/GCPD · FAUST | matching accuracy | Helped |
| Generalize the deformation model to non-Euclidean domains using Laplace-Beltrami bases (ablation) | GCPD · FAUST | matching accuracy | Helped |
| Initialize with MWP correspondences instead of ZoomoutSinkhorn correspondences (ablation) | GCPD · FAUST | matching accuracy | Helped |
| Initialize with MWP correspondences instead of SHOT matching (ablation) | GCPD · FAUST | matching accuracy | Helped |
| Refine MWP correspondences with GCPD (ablation) | MWP · FAUST | matching accuracy | Helped |
| Refine MWP correspondences with GCPD | MWP · SHREC16 Partial Correspondence | matching accuracy | Helped |
| Use an initial correspondence set rather than starting GMM registration from the untransformed shape (ablation) | GCPD · FAUST | matching accuracy | Helped |
Closest papers by meaning
- Probabilistic Deformation Consistency for Unsupervised Shape Matching (AAAI 2026 · similarity 0.89)
- Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy (ICLR 2025 · similarity 0.86)
- Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis (CVPR 2024 · similarity 0.86)
- Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation (CVPR 2024 · similarity 0.86)
- Stable-SCore: A Stable Registration-based Framework for 3D Shape Correspondence (CVPR 2025 · similarity 0.86)
- Scalable 3D Registration via Truncated Entry-wise Absolute Residuals (CVPR 2024 · similarity 0.86)
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