Research map / 3D vision / Face and shape
A Robust Local Spectral Descriptor for Matching Non-Rigid Shapes With Incompatible Shape Structures
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the learned LPS-based descriptor instead of LDGI | FAUST matching at the original resolution · FAUST | matching performance | Helped |
| Train on original-resolution shapes and test on different resolutions | LPS-based descriptor · FAUST-derived multi-resolution shapes | matching performance | No clear effect |
| Use the learned LPS-based descriptor rather than the compared descriptors | Dense matching across resolutions · FAUST 6890-to-8K and 6890-to-12K | matching performance | Helped |
| Use the learned LPS-based descriptor rather than the compared descriptors | Matching randomly rotated shapes · FAUST-derived rotated shapes | matching performance | Helped |
| Use the learned LPS-based descriptor rather than the compared descriptors | Matching randomly scaled shapes · FAUST-derived scaled shapes | matching performance | Helped |
| Replace GCNN's SHOT input feature with LPS | GCNN shape correspondence · FAUST | correspondence quality | Mixed |
Closest papers by meaning
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- Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching (AAAI 2026 · similarity 0.87)
- Medial Spectral Coordinates for 3D Shape Analysis (CVPR 2022 · similarity 0.87)
- Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation (CVPR 2024 · similarity 0.86)
- HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods (NeurIPS 2024 · similarity 0.85)
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