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Runfeng Lin

2 accepted papers

2024

A New Guaranteed Outlier Removal Method Based on Plane Constraints for Large-Scale LiDAR Point Cloud Registration

IJCAI 2024poster

In this paper, we present a novel registration method based on plane constraints for large-scale LiDAR point clouds, effectively decoupling rotation estimation and translation estimation. For rotation estimation, we propose an outlier removal method that combines coarse filtering with rotation-invar…

Cited by 1SourcePDFScholar
2024

PNGOR: A Novel Guaranteed Outlier Removal Method Ensuring Robust Rotation Estimation From Planar Normals

RA-L 2024

In this letter, we propose a guaranteed outlier removal method based on computational geometry consistency checks, named PNGOR, effectively leveraging planar normals from 3D scenes to estimate rotation. The challenge of estimating rotation can be conceptualized as a maximum consensus problem and we

Cited by 1SourceScholar