Research map / 3D vision / Human pose estimation
The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add semantic labels during optimization (ablation) | GOSMA · Stanford 2D-3D-S area 3 | success rate: 0.85 -> 1.00 | Helped |
| add semantic labels during optimization (ablation) | GOSMA · Stanford 2D-3D-S area 3 | median translation error (m): 0.14 -> 0.08 | Helped |
| add semantic labels during optimization (ablation) | GOSMA · Stanford 2D-3D-S area 3 | median rotation error (°): 2.38 -> 1.13 | Helped |
| add semantic labels during optimization (ablation) | GOSMA · Stanford 2D-3D-S area 3 | median runtime (s): 19.1 -> 1.8 | Helped |
| use GOSMA rather than GOPAC | camera pose estimation · Synthetic data, ω₂D=1 | median runtime (s): 167s -> 5s | Helped |
Closest papers by meaning
- 3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation (ICLR 2024 · similarity 0.87)
- Learning Shape-Independent Transformation via Spherical Representations for Category-Level Object Pose Estimation (ICLR 2025 · similarity 0.87)
- Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence (NeurIPS 2026 · similarity 0.87)
- GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement (CVPR 2024 · similarity 0.86)
- RUBIK: A Structured Benchmark for Image Matching across Geometric Challenges (CVPR 2025 · similarity 0.86)
- From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation (CVPR 2024 · similarity 0.86)
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