Research map / 3D vision / Depth and stereo
3D Part-Based Sparse Tracker With Automatic Synchronization and Registration
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use multiple parts instead of one holistic part (ablation) | 3D part-based sparse tracker · Occlusion | tracking score: 0.48 -> 0.73 | Helped |
| automatically synchronize and register the RGBD data instead of using manually corrected data | 3D part-based sparse tracker · Occlusion | tracking score: 0.73 -> 0.67 | Hurt |
| use raw, unregistered depth data while retaining automatic synchronization (ablation) | 3D part-based sparse tracker · Occlusion | tracking score: 0.67 -> 0.62 | Hurt |
| use raw, unsynchronized and unregistered RGBD data (ablation) | 3D part-based sparse tracker · Occlusion | tracking score: 0.62 -> 0.57 | Hurt |
| use automatic synchronization and registration | 3D part-based sparse tracker · Princeton RGBD benchmark | average rank: 2.27 -> 3.72 | Hurt |
Closest papers by meaning
- TAPIP3D: Tracking Any Point in Persistent 3D Geometry (NeurIPS 2025 · similarity 0.85)
- CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features (ICML 2025 · similarity 0.84)
- Temporal Adaptive RGBT Tracking with Modality Prompt (AAAI 2024 · similarity 0.84)
- SpatialTracker: Tracking Any 2D Pixels in 3D Space (CVPR 2024 · similarity 0.84)
- Robust 3D Tracking with Quality-Aware Shape Completion (AAAI 2024 · similarity 0.84)
- DELTA: DENSE EFFICIENT LONG-RANGE 3D TRACKING FOR ANY VIDEO (ICLR 2025 · similarity 0.83)
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