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Research map / 3D vision / Depth and stereo

Learning Structure-And-Motion-Aware Rolling Shutter Correction

CVPR 2019 · 3D vision › Depth and stereo · approach: Camera model and calibration for SfM · 52 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use SMARSC rectification before VisualSFM instead of running SfM directly on RS imagesVisualSFM · 47 real RS imagesSfM failure runs (of 10): 4 -> 0Helped
Use SMARSC rectification before VisualSFM instead of MH rectificationVisualSFM · 47 real RS imagesSfM failure runs (of 10): 7 -> 0Helped
Use SMARSC rectification before VisualSFM instead of 2DCNN rectificationVisualSFM · 47 real RS imagesSfM failure runs (of 10): 9 -> 0Helped
Crop training images rather than resize them (ablation)SMARSC · Synthetic test images with wx-only rotationwx prediction errorHelped
Crop training images rather than resize them (ablation)SMARSC · Synthetic test images with wy-only rotationwy prediction errorHelped
Crop training images rather than resize them (ablation)SMARSC · Synthetic test images with wz-only rotationwz prediction errorHelped
Use estimated depth instead of ground-truth depth (ablation)SMARSC rectification · Synthetic RS images with pure translationundistortion flow errorNo clear effect
Use 16 depth bins instead of continuous ground-truth depth (ablation)SMARSC rectification · Synthetic RS images with pure translationundistortion flow errorHurt
Use 4 depth bins instead of continuous ground-truth depth (ablation)SMARSC rectification · Synthetic RS images with pure translationundistortion flow errorHurt
Use 1 depth bin instead of continuous ground-truth depth (ablation)SMARSC rectification · Synthetic RS images with pure translationundistortion flow errorHurt

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