The Point Cloud Reduction Algorithm Based on the Feature Extraction of a Neighborhood Normal Vector and Fuzzy-c Means Clustering

The three-dimensional model of geographic elements serves as the primary medium for digital visualization. However, the original point cloud model is often vast and includes considerable redundant data, resulting in inefficiencies during the three-dimensional modeling process. To address this issue,...

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Veröffentlicht in:	Proceedings Jg. 110; H. 1; S. 13
Hauptverfasser:	Hongxiao Xu, Donglai Jiao, Wenmei Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 01.12.2024
Schlagworte:	domain normal vector edge point extraction farthest point sampling FCM clustering algorithm point cloud reduction
ISSN:	2504-3900
Online-Zugang:	Volltext
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