Research map / 3D vision / Depth and stereo
Do It Yourself Hyperspectral Imaging With Everyday Digital Cameras
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| combine RGB measurements from multiple consumer cameras instead of using a single RGB image | hyperspectral reconstruction · real scenes under indoor and outdoor illumination | RMSE | Helped |
| use two or more cameras rather than one (ablation) | the proposed hyperspectral reconstruction method · synthetic Macbeth color chart scenes | RMSE | Helped |
| increase the number of cameras beyond four (ablation) | the proposed hyperspectral reconstruction method · synthetic Macbeth color chart scenes | RMSE | No clear effect |
| use the Canon 5D, Fuji X-E1, and Nikon D600 combination selected by lowest condition number (ablation) | the proposed hyperspectral reconstruction method · synthetic Macbeth color chart scenes | RMSE | Helped |
| use the method under fluorescent illumination | the proposed hyperspectral reconstruction method · fluorescent illumination | reconstruction accuracy | Hurt |
Closest papers by meaning
- Dense Dispersed Structured Light for Hyperspectral 3D Imaging of Dynamic Scenes (CVPR 2025 · similarity 0.85)
- Active Hyperspectral Imaging Using an Event Camera (CVPR 2025 · similarity 0.85)
- Dispersed Structured Light for Hyperspectral 3D Imaging (CVPR 2024 · similarity 0.85)
- Automatic Spectral Calibration of Hyperspectral Images: Method, Dataset and Benchmark (CVPR 2025 · similarity 0.84)
- SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction (CVPR 2024 · similarity 0.83)
- FRN: Fractal-Based Recursive Spectral Reconstruction Network (NeurIPS 2025 · similarity 0.83)
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