Research map / 3D vision / Depth and stereo
Information-Driven Adaptive Structured-Light Scanners
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Select projected patterns greedily by mutual information rather than randomly | Structured-light range reconstruction · Hand reconstruction | range RMS error: 24.1mm -> 18.9mm | Helped |
| Select projected patterns greedily by mutual information rather than randomly | Structured-light range reconstruction · Mannequin reconstruction | range RMS error: 59.1mm -> 51.3mm | Helped |
| Select the next pattern by mutual information rather than randomly | Structured-light scanner · Hand, step 1 | MI gain: 0.1267 -> 0.4168 | Helped |
| Select the next pattern by mutual information rather than randomly | Structured-light scanner · Mannequin, step 1 | MI gain: 0.0756 -> 0.1688 | Helped |
| Use a strong prior on appearance coefficients | Range-image MI estimation · Range sensing | MI gain | Helped |
| Use a strong prior on range, with σr = 7mm | Range-image MI estimation · Range sensing | MI gain | Hurt |
| Repeat half the patterns twice instead of using different patterns | Structured-light scanner · Range sensing | MI gain | Hurt |
| Use MI-greedy selection instead of random ordering | Structured-light range reconstruction · Range reconstruction as patterns are added | number of patterns needed for comparable error: 50% | Helped |
Closest papers by meaning
- Optimal Structured Light à La Carte (CVPR 2018 · similarity 0.88)
- Energy-Efficient Adaptive 3D Sensing (CVPR 2023 · similarity 0.85)
- UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems (CVPR 2017 · similarity 0.84)
- Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo (CVPR 2021 · similarity 0.84)
- TurboSL: Dense Accurate and Fast 3D by Neural Inverse Structured Light (CVPR 2024 · similarity 0.82)
- Towards 3D Vision with Low-Cost Single-Photon Cameras (CVPR 2024 · similarity 0.81)
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