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.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
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The paper performs a comparative benchmark of nine 3D correspondence grouping methods on three application benchmarks under multiple perturbations.
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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.
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A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching
The paper performs a comparative benchmark of nine 3D correspondence grouping methods on three application benchmarks under multiple perturbations.