Research map / Point clouds / Registration and matching
Context-Aware Gaussian Fields for Non-Rigid Point Set Registration
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use CA-LapGF instead of the compared non-rigid registration methods | Non-rigid point set registration · Synthesized Chinese character and fish point sets | RMSE | Helped |
| Use CA-LapGF instead of SC, GMMReg, and CPD | Facial landmark registration · IMM Face Database | registration error | Helped |
| Use CA-LapGF instead of the compared registration methods | Articulated shape registration · Tools 2D Database | registration performance | Helped |
| Use CA-LapGF instead of the compared robust matching methods | Feature matching · Oxford Affine Dataset | mismatch removal accuracy | Helped |
Closest papers by meaning
- Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis (CVPR 2024 · similarity 0.87)
- Non-Rigid Point Set Registration with Robust Transformation Estimation under Manifold Regularization (AAAI 2017 · similarity 0.87)
- FilterReg: Robust and Efficient Probabilistic Point-Set Registration Using Gaussian Filter and Twist Parameterization (CVPR 2019 · similarity 0.86)
- Occlusion-aware Non-Rigid Point Cloud Registration via Unsupervised Neural Deformation Correntropy (ICLR 2025 · similarity 0.83)
- Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching (CVPR 2024 · similarity 0.82)
- Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling (AAAI 2024 · similarity 0.82)
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