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Research map / 3D vision / Depth and stereo

Accurate Depth and Normal Maps From Occlusion-Aware Focal Stack Symmetry

CVPR 2017 · 3D vision › Depth and stereo · approach: Photometric stereo · 55 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace full focal stacks with occlusion-aware partial focal stacksFocal stack symmetry disparity estimation · Boxes, Cotton, Dino, SideboardPixels deviating more than 0.07 from ground truth (%): 28.12 -> 20.87; 6.83 -> 3.37; 10.01 -> 3.52; 26.80 -> 9.23Helped
Add confidence-weighted stereo correspondence costs to focal stack symmetryProposed disparity estimation · DotsBadPix(0.07): 37.67 -> 21.61Helped
Jointly regularize depth and normals instead of using sublabel relaxation alone (ablation)Proposed depth and normal estimation · Boxes, Cotton, Dino, SideboardMean angular error: 48.55° -> 17.11°; 33.64° -> 9.78°; 43.55° -> 1.68°; 49.59° -> 8.58°Helped
Add normal regularization without joint depth regularization (ablation)Proposed depth and normal estimation · Boxes, Cotton, Dino, SideboardMean angular error: 36.92° vs 17.11°; 31.54° vs 9.78°; 29.91° vs 1.68°; 65.48° vs 8.58°Mixed
Add depth smoothing only instead of joint depth-normal regularization (ablation)Proposed depth and normal estimation · Boxes, Cotton, Dino, SideboardMean angular error: 19.67° vs 17.11°; 12.87° vs 9.78°; 2.67° vs 1.68°; 12.49° vs 8.58°Hurt

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