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ARCS: Accurate Rotation and Correspondence Search

CVPR 2022 · Point clouds › Registration and matching · approach: Quantum and certifiable correspondence · 15 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use ARCS norm-sorted correspondence search instead of brute-force pair searchNoiseless rotation and correspondence search · Noiseless Gaussian point sets, m=10^6runtime (msec): 8380441.5 -> 121.1Helped
Add outlier removal and quaternion rotation refinement to ARCS+OARCS+O · Robust rotation search, inlier ratio 10^3/10^5=1%rotation error (degrees): 0.86 -> 0.03Helped
Add quaternion rotation refinement after outlier removalARCS+O · Robust rotation search, inlier ratio 10^3/10^6=0.1%rotation error (degrees): 0.99 -> 0.09Helped
Add quaternion rotation refinement after outlier removalARCS+O · Robust rotation search, inlier ratio 3×10^3/10^7=0.03%rotation error (degrees): 0.98 -> 0.22Helped
Use outlier removal before quaternion rotation refinementARCS+R · Robust rotation search, inlier ratio 10^3/10^6=0.1%rotation error (degrees): 65.2 -> 0.09Helped
Use outlier removal before quaternion rotation refinementARCS+R · Robust rotation search, inlier ratio 3×10^3/10^7=0.03%rotation error (degrees): 88.4 -> 0.22Helped
Apply ARCS+OR at an inlier ratio of 10^3/10^7=0.01%ARCS+OR · Robust rotation searchrotation error (degrees): 55.4Hurt
Use ARCS+OR rather than TEASER3DMatch · 3DMatch, overallsuccess rate: 97.72% -> 97.72%No clear effect

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