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

被引：0
|
作者：
Ma, Gang [1 ]
Wei, Hui [1 ]
Lin, Runfeng [1 ]
Wu, Jialiang [1 ]
机构：
[1] Fudan University, Laboratory of Algorithms for Cognitive Models, Shanghai Key Laboratory of Data Science, School of Computer Science, Shanghai,200433, China
来源：
IEEE Transactions on Geoscience and Remote Sensing | 2024年 / 62卷
基金：
美国国家科学基金会;
关键词：
Engineering Village;
D O I：
5708417
中图分类号：
学科分类号：
摘要：
Computational geometric - Computational geometric consistency - Outlier removals - Point cloud registration - Point-clouds - Removal method - Rotation estimations - Rotation invariant - Rotation-invariant constraint - Translation component constraint
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