DFPS: An Efficient Downsampling Algorithm Designed for the Global Feature Preservation of Large-Scale Point Cloud Data

This paper introduces an efficient 3D point cloud downsampling algorithm (DFPS) based on adaptive multi-level grid partitioning. By leveraging an adaptive hierarchical grid partitioning mechanism, the algorithm dynamically adjusts computational intensity in accordance with terrain complexity. This a...

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書誌詳細

出版年:	Sensors
主要な著者:	Jiahui Dong, Maoyi Tian, Jiayong Yu, Guoyu Li, Yunfei Wang, Yuxin Su
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-07-01
主題:	large-scale point cloud processing downsampling feature preservation
オンライン･アクセス:	https://www.mdpi.com/1424-8220/25/14/4279