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Light Field Messaging With Deep Photographic Steganography

CVPR 2019 · 3D vision › Depth and stereo · approach: Non-line-of-sight imaging · 162 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add CDTF model T() to training (ablation)LFM · tested camera-display pairs, frontalBER: 49.961% -> 10.051%; 50.138% -> 6.5809%; 50.047% -> 10.333%; 50.108% -> 5.0732%; 50.042% -> 4.8305%Helped
Add CDTF model T() to training (ablation)LFM · new camera-display pairs, frontalBER: 50.059% -> 9.1688%; 49.948% -> 7.313%; 50.0005% -> 20.454%; 49.997% -> 17.555%Helped
Use CDTF-trained photographic embedding instead of Baluja steganographycamera-display messaging on new hardware · four unseen camera-display pairs, frontalBER: 40.372% -> 9.1688%; 37.152% -> 7.313%; 48.497% -> 20.454%; 48.827% -> 17.555%Helped
Increase camera-display angle from frontal to 45°LFM with T() · tested camera-display pairsBER: 10.051% -> 29.807%; 6.5809% -> 15.229%; 10.333% -> 10.217%; 5.0732% -> 5.1415%; 4.8305% -> 10.01%Hurt
Increase perceptual loss weight λT (ablation)LFM embedding · coded-image visual quality and message recoveryBERMixed
Change camera exposure to overexposed (ablation)LFM with T() · Pixel 2 + Acer Predator XB271HUBER: 0.78% -> 7.42%Hurt
Change camera exposure to underexposed (ablation)LFM with T() · Pixel 2 + Acer Predator XB271HUBER: 0.78% -> 0.29%Helped

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