Public
Photometric Stereo — Public Tier
(5 scenes)Full-access development tier with all data visible.
What you get
Measurements (y), ideal forward operator (H), spec ranges, ground truth (x_true), and true mismatch spec.
How to use
Load HDF5 → compare reconstruction vs x_true → check consistency → iterate.
What to submit
Reconstructed signals (x_hat) and corrected spec as HDF5.
Parameter Specifications
✓
True spec visible — use these exact values for Scenario III oracle reconstruction.
| Parameter | Spec Range | True Value | Unit |
|---|---|---|---|
| light_direction_error | -1.0 – 2.0 | 0.5 | degpersource |
| light_intensity_calibration | 0.96 – 1.08 | 1.02 | - |
| non_lambertian_surface_fraction | -6.0 – 12.0 | 3.0 | - |
| cast_shadow_fraction | -3.0 – 6.0 | 1.5 | ofpixels |
InverseNet Baseline Scores
Method: CPU_baseline — Mismatch parameter: nominal
Scenario I (Ideal)
5.60 dB
SSIM 0.4704
Scenario II (Mismatch)
5.48 dB
SSIM 0.2508
Scenario III (Oracle)
19.14 dB
SSIM 0.2964
Per-scene breakdown (4 scenes)
| Scene | PSNR I | SSIM I | PSNR II | SSIM II | PSNR III | SSIM III |
|---|---|---|---|---|---|---|
| scene_00 | 5.53 | 0.4672 | 5.49 | 0.2492 | 19.07 | 0.2950 |
| scene_01 | 5.81 | 0.4796 | 5.98 | 0.2471 | 19.15 | 0.2888 |
| scene_02 | 5.66 | 0.4660 | 5.19 | 0.2536 | 19.29 | 0.3009 |
| scene_03 | 5.39 | 0.4690 | 5.28 | 0.2531 | 19.03 | 0.3011 |
Public Tier Leaderboard
| # | Method | Score | PSNR | SSIM | Consistency | Trust | Source |
|---|---|---|---|---|---|---|---|
| 1 | PS-Transformer + gradient | 0.795 | 32.82 | 0.951 | 0.93 | ✓ Certified | Ikehata, ICCV 2023 |
| 2 | CNN-PS + gradient | 0.771 | 31.04 | 0.931 | 0.94 | ✓ Certified | Ikehata, ECCV 2018 |
| 3 | Robust PCA + gradient | 0.679 | 26.58 | 0.848 | 0.87 | ✓ Certified | Wu et al., ECCV 2010 |
| 4 | LS Normal Est. + gradient | 0.591 | 22.73 | 0.72 | 0.88 | ✓ Certified | Woodham, Opt. Eng. 1980 |
Visible Data Fields
y
H_ideal
spec_ranges
x_true
true_spec
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%