PCGOR: A Novel Plane Constraints-Based Guaranteed Outlier Removal Method for Large-Scale LiDAR Point Cloud Registration

Point cloud registration is a crucial challenge in photogrammetry and computer vision, aimed at aligning adjacent point clouds optimally. In this article, we present a novel registration approach based on plane constraints for large-scale LiDAR point clouds, called PCGOR, effectively decoupling rota...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2024, Vol.62, p.1-17
Hauptverfasser:	Ma, Gang, Wei, Hui, Lin, Runfeng, Wu, Jialiang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Computational geometric consistency Estimation Feature extraction Geoscience and remote sensing Laser radar Noise outlier removal Point cloud compression point cloud registration Robustness rotation-invariant constraints (RICs) Simultaneous localization and mapping Three-dimensional displays translation component constraints (TCCs)
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