Research map / 3D vision / Face and shape
A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed combinatorial solver instead of the Windheuser et al. LP-based solver | orientation-preserving 3D shape matching · TOSCA | average area under the curve: 0.72 -> 0.91 | Helped |
| Use the proposed combinatorial solver instead of Ren et al. | 3D shape matching · TOSCA | area under curve: 0.836 -> 0.929 | Helped |
| Use the proposed combinatorial solver instead of Eisenberger et al. | 3D shape matching · TOSCA | area under curve: 0.910 -> 0.929 | Helped |
| Use the proposed combinatorial solver instead of the Windheuser et al. LP-based solver | orientation-preserving 3D shape matching · TOSCA | runtime: 1 h; 200 triangles | Helped |
Closest papers by meaning
- SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency (CVPR 2024 · similarity 0.90)
- Partial-to-Partial Shape Matching with Geometric Consistency (CVPR 2024 · similarity 0.89)
- 3D Geometric Shape Assembly via Efficient Point Cloud Matching (ICML 2024 · similarity 0.88)
- Multi-Shape Matching with Cycle Consistency Basis via Functional Maps (AAAI 2025 · similarity 0.86)
- HOPE: Shape Matching Via Aligning Different K-hop Neighbourhoods (NeurIPS 2024 · similarity 0.86)
- Spectral Meets Spatial: Harmonising 3D Shape Matching and Interpolation (CVPR 2024 · similarity 0.86)
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