Research map / Point clouds / Point cloud classification
Progressive Prioritized Multi-View Stereo
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Enable the prioritization scheme (ablation) | Progressive Prioritized MVS · Herz-Jesu-P8 | runtime: 675s -> 486s | Helped |
| Enable the prioritization scheme (ablation) | Progressive Prioritized MVS · Herz-Jesu-P8 | RMS error: 6.7 mm -> 6.8 mm | No clear effect |
| Enable the prioritization scheme (ablation) | Progressive Prioritized MVS · Herz-Jesu-P8 | average patch scale: 3.0 mm -> 3.5 mm | Helped |
| Use progressive hierarchical patch growth instead of processing only a fixed image level | MVS reconstruction · fountain-P11 and Herz-Jesu-P8 | RMS error: 7mm; 360mm | Helped |
| Use the proposed method rather than CMVS-PMVS | MVS reconstruction · fountain-P11 and Herz-Jesu-P8 | completeness C: 67.0 -> 67.2; 79.3 -> 81.1 | Mixed |
| Use the proposed method rather than CMVS-PMVS - L0 | MVS reconstruction · citywall | runtime (minutes): 214 -> 10 | Helped |
| Use the proposed method rather than MVE - L2 | MVS reconstruction · citywall | runtime (minutes): 706 -> 10 | Helped |
| Prioritize regions by user interest | Progressive Prioritized MVS · citywall | local reconstruction resolution | Helped |
| Handle effective image scale explicitly | Progressive Prioritized MVS · citywall | point-cloud resolution homogeneity | Helped |
Closest papers by meaning
- Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization (AAAI 2025 · similarity 0.86)
- Multi-view Reconstruction via SfM-guided Monocular Depth Estimation (CVPR 2025 · similarity 0.86)
- RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo (AAAI 2025 · similarity 0.85)
- DUSt3R: Geometric 3D Vision Made Easy (CVPR 2024 · similarity 0.85)
- SD-MVS: Segmentation-Driven Deformation Multi-View Stereo with Spherical Refinement and EM Optimization (AAAI 2024 · similarity 0.85)
- Depth-Guided Robust and Fast Point Cloud Fusion NeRF for Sparse Input Views (AAAI 2024 · similarity 0.85)
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