Public

Structured Light — 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
baseline -0.5 – 1.0 0.25 mm
pattern_distortion -1.0 – 2.0 0.5 %
ambient_ir -3.0 – 6.0 1.5 %

InverseNet Baseline Scores

Method: CPU_baseline — Mismatch parameter: nominal

Scenario I (Ideal)

5.60 dB

SSIM 0.4704

Scenario II (Mismatch)

5.45 dB

SSIM 0.2015

Scenario III (Oracle)

18.47 dB

SSIM 0.2342

Per-scene breakdown (4 scenes)
Scene PSNR I SSIM I PSNR II SSIM II PSNR III SSIM III
scene_00 5.53 0.4672 5.46 0.1995 18.40 0.2341
scene_01 5.81 0.4796 6.03 0.1934 18.47 0.2267
scene_02 5.66 0.4660 5.08 0.2092 18.61 0.2372
scene_03 5.39 0.4690 5.23 0.2041 18.40 0.2387

Public Tier Leaderboard

# Method Score PSNR SSIM Consistency Trust Source
1 PhaseFormer + gradient 0.795 32.67 0.95 0.94 ✓ Certified Fringe pattern transformer, 2024
2 FPP-Net + gradient 0.760 31.35 0.935 0.86 ✓ Certified Feng et al., Opt. Lasers Eng. 2019
3 Gray Code + gradient 0.637 23.98 0.768 0.95 ✓ Certified Inokuchi et al., Appl. Opt. 1984
4 Phase Shifting + gradient 0.617 23.25 0.741 0.94 ✓ Certified Srinivasan et al., Appl. Opt. 1984

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%
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