Proposes SIME framework with AM and AM-SDR solvers for 3D rotation search and rigid point-set registration, claiming lower fitting residuals than MC-based methods on high-outlier data.
Convergence of iteratively re-weighted least squares to robust m-estimators
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A Robust 3D Registration Method via Simultaneous Inlier Identification and Model Estimation
Proposes SIME framework with AM and AM-SDR solvers for 3D rotation search and rigid point-set registration, claiming lower fitting residuals than MC-based methods on high-outlier data.