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Research map / Learning theory and algorithms / Combinatorial and search optimization

Geometric Multi-Model Fitting With a Convex Relaxation Algorithm

CVPR 2018 · Learning theory and algorithms › Combinatorial and search optimization · approach: Globally optimal geometric optimization · 42 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use CORAL instead of Multi-H for multi-homography fittingMulti-homography fitting · AdelaideRmfmean ME: 4.40 -> 4.2117Helped
Use CORAL instead of Multi-H for multi-homography fittingMulti-homography fitting · AdelaideRmfmedian ME: 2.41 -> 3.48Hurt
Use CORAL instead of PEARL for plane detectionRGB-D plane detection · NYU-Depth test setME: 23.04 -> 18.99Helped
Use CORAL instead of RANSAC for plane detectionRGB-D plane detection · NYU-Depth test setME: 29.38 -> 18.99Helped
Use CORAL instead of PEARL for plane detectionRGB-D plane detection · NYU-Depth Image 4ME: 7.77 -> 7.83Hurt
Use global energy fitting rather than RANSACMulti-homography fitting · Simulated data with increasing sensor noiseMEHelped
Use energy-based fitting rather than RANSAC at low outlier percentagesMulti-homography fitting · Simulated data with outlier percentage < 60%MEHelped
Use CORAL rather than PEARL at high outlier percentagesMulti-homography fitting · Simulated data with high outlier percentagesMENo clear effect

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