Research map / 3D vision / Depth and stereo
Noise Robust Depth From Focus Using a Ring Difference Filter
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use RDF instead of LAP | Depth from focus · Synthetic light-field datasets, average, σ =0 | RMSE: 1.944 -> 1.237 | Helped |
| Use RDF instead of LAP | Depth from focus · Synthetic light-field datasets, average, σ =0 | Bad pixel ratio (%): 10.55 -> 8.04 | Helped |
| Use RDF instead of LAP | Depth from focus · Synthetic light-field datasets, average, σ =0.005 | RMSE: 2.442 -> 1.228 | Helped |
| Use RDF instead of LAP | Depth from focus · Synthetic light-field datasets, average, σ =0.005 | Bad pixel ratio (%): 14.91 -> 8.31 | Helped |
| Use RDF instead of LAP | Depth from focus · Synthetic light-field datasets, average, σ =0.01 | RMSE: 3.497 -> 1.306 | Helped |
| Use RDF instead of EIG | Depth from focus · Synthetic light-field datasets, average, σ =0.01 | Bad pixel ratio (%): 18.92 -> 9.10 | Helped |
| Use RDF instead of EIG | Depth from focus · Synthetic light-field datasets, average, σ =0.02 | RMSE: 3.246 -> 1.594 | Helped |
| Use RDF instead of EIG | Depth from focus · Synthetic light-field datasets, average, σ =0.02 | Bad pixel ratio (%): 22.96 -> 13.92 | Helped |
| Use RDF rather than LAP for focus measurement | Focus measurement · Synthetic light-field datasets | Focus measurement time: 1.04s -> 0.38s | Helped |
Closest papers by meaning
- DualFocus: Depth from Focus with Spatio-Focal Dual Variational Constraints (NeurIPS 2025 · similarity 0.89)
- Depth Pro: Sharp Monocular Metric Depth in Less Than a Second (ICLR 2025 · similarity 0.83)
- Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries (CVPR 2025 · similarity 0.83)
- DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching (AAAI 2025 · similarity 0.83)
- iToF-flow-based High Frame Rate Depth Imaging (CVPR 2024 · similarity 0.82)
- RPG360: Robust 360 Depth Estimation with Perspective Foundation Models and Graph Optimization (NeurIPS 2025 · similarity 0.82)
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