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Research map / 3D vision / Depth and stereo

Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo

CVPR 2023 · 3D vision › Depth and stereo · approach: Cost-volume multi-view stereo · 39 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Replace fixed-window matching for unreliable pixels with adaptive deformable patches anchored by reliable pixelsPatchMatch-based MVS (APD-MVS) · ETH3D testF1Helped
Use weighted aggregation of center-patch and anchor-pixel costs rather than mixed aggregation over the combined patch (ablation)APD-MVS · ETH3D, 2cmF1: 83.73 -> 86.84Helped
Use weighted aggregation of center-patch and anchor-pixel costs rather than mixed aggregation over the combined patch (ablation)APD-MVS · ETH3D, 10cmF1: 95.68 -> 97.12Helped
Evaluate reliability using matching-cost profile geometry instead of color standard deviation (ablation)APD-MVS · ETH3D, 2cmF1: 81.57 -> 86.84Helped
Evaluate reliability using matching-cost profile geometry instead of a matching-cost threshold (ablation)APD-MVS · ETH3D, 2cmF1: 76.71 -> 86.84Helped
Evaluate reliability using matching-cost profile geometry instead of color standard deviation (ablation)APD-MVS · ETH3D, 10cmF1: 94.46 -> 97.12Helped
Evaluate reliability using matching-cost profile geometry instead of a matching-cost threshold (ablation)APD-MVS · ETH3D, 10cmF1: 91.66 -> 97.12Helped

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