Dev
Photometric Stereo — Dev Tier
(5 scenes)Blind evaluation tier — no ground truth available.
What you get
Measurements (y), ideal forward operator (H), and spec ranges only.
How to use
Apply your pipeline from the Public tier. Use consistency as self-check.
What to submit
Reconstructed signals and corrected spec. Scored server-side.
Parameter Specifications
🔒
True spec hidden — estimate parameters from spec ranges below.
| Parameter | Spec Range | Unit |
|---|---|---|
| light_direction_error | -1.2 – 1.8 | degpersource |
| light_intensity_calibration | 0.952 – 1.072 | - |
| non_lambertian_surface_fraction | -7.2 – 10.8 | - |
| cast_shadow_fraction | -3.6 – 5.4 | ofpixels |
Dev Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PS-Transformer + gradient | 0.707 | 28.93 | 0.899 | 0.79 | ✓ Certified | Ikehata, ICCV 2023 |
| 2 | CNN-PS + gradient | 0.647 | 25.72 | 0.824 | 0.8 | ✓ Certified | Ikehata, ECCV 2018 |
| 3 | Robust PCA + gradient | 0.647 | 24.93 | 0.8 | 0.89 | ✓ Certified | Wu et al., ECCV 2010 |
| 4 | LS Normal Est. + gradient | 0.537 | 20.75 | 0.634 | 0.88 | ✓ Certified | Woodham, Opt. Eng. 1980 |
Visible Data Fields
y
H_ideal
spec_ranges
Dataset
Format: HDF5
Scenes: 5
Scoring Formula
0.4 × PSNR_norm + 0.4 × SSIM + 0.2 × (1 − ‖y − Ĥx̂‖/‖y‖)
PSNR: 40%
SSIM: 40%
Consistency: 20%