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Robust Outlier Rejection for 3D Registration With Variational Bayes

CVPR 2023 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Nonparametric and PAC-Bayes Bayesian learning · 58 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace spatial-consistency non-local features with variational Bayesian non-local features (ablation)PointDSC · 3DMatch (FPFH)RR: 77.76 -> 80.53Helped
replace spatial-consistency non-local features with variational Bayesian non-local features (ablation)PointDSC · 3DLoMatch (FCGF, 500 points)RR: 36.8 -> 42.2Helped
add voting-based inlier search to VBNonlocal features (ablation)PointDSC with VBNonlocal feat · 3DLoMatch (FCGF, 500 points)RR: 42.2 -> 44.7Helped
add conservative seed selection (ablation)VBNonlocal feat + Vote · 3DLoMatch (FCGF, 500 points)RR: 44.7 -> 47.2 (+2.5%)Helped
add conservative seed selection (ablation)VBNonlocal feat + Vote · 3DLoMatch (FCGF, 250 points)RR: 31.1 -> 34.5 (+3.4%)Helped
add classification loss to intermediate SCNonlocal features (ablation)PointDSC · 3DMatch and 3DLoMatchRRMixed
vary non-local iteration count from 12 to 6 or 9 (ablation)VBReg · 3DMatch and 3DLoMatchRRMixed
vary random feature dimension (ablation)VBReg · 3DMatch and 3DLoMatchRRMixed
use VBReg rather than PointDSC3D registration · 3DMatch (FCGF)RR: 92.42 -> 93.53Helped
use VBReg rather than PointDSC3D registration · 3DMatch (FPFH)RR: 77.51 -> 82.75Helped
use VBReg rather than PointDSC3D registration · 3DLoMatch (FCGF, 250 points)RR: 26.7 -> 34.5Hurt

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