现代信息科技2025，Vol.9Issue(24)：163-166,4.DOI:10.19850/j.cnki.2096-4706.2025.24.030
三维点云室内平面要素精确提取方法研究
Research on Accurate Extraction Method of 3D Point Cloud Indoor Plane Elements
宋锦阳 1许鹤 1马金峰 1葛礼赞 2刘维宝1
作者信息
- 1. 长春建筑学院 交通学院,吉林 长春 130607
- 2. 吉林省基础地理信息中心,吉林 长春 130062
- 折叠
摘要
Abstract
Indoor model semantic reconstruction is an important basis for research fields such as smart cities,artificial intelligence,and indoor navigation and positioning.This paper studies the indoor point cloud data,and proposes an accurate extraction method of indoor point cloud plane elements under geometric constraints.This method first uses the hybrid segmentation method to segment the indoor point cloud,and then uses the geometric characteristics of the indoor semantic components to accurately extract the segmented plane.The extraction plane includes ground,ceiling,wall,door plane,beam plane and column plane.There are two groups of experimental data.One is the single-layer laser point cloud data of a teaching building,and the other is the standard data of the International Society for Photogrammetry and Remote Sensing(ISPRS).The validity and reliability of the method are verified by the evaluation of the test results.关键词
室内点云/混合分割/平面要素/精确提取Key words
indoor point cloud/hybrid segmentation/plane element/accurate extraction分类
信息技术与安全科学引用本文复制引用
宋锦阳,许鹤,马金峰,葛礼赞,刘维宝..三维点云室内平面要素精确提取方法研究[J].现代信息科技,2025,9(24):163-166,4.
