id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_evvbv2farjctznji56aki4kdpu	Xiaoyi Ruan	Review of 3D Point Cloud Data Segmentation Methods	2020	6	.pdf	application/pdf	3771	325	60	Review of 3D Point Cloud Data Segmentation Methods of dividing the point cloud data set into several specific regions Despite widespread use, point cloud segmentation still faces many challenges because of uneven sampling popular algorithms and methodologies to segment point clouds. Keywords-Line Point Cloud; Segmentation; Classification We divide the 3D point cloud segmentation method The edge-based segmentation method is currently The edge-based segmentation method first segmentation; Wang et al.[6] proposed a fast point The region-based method classifies nearby points (a)original point cloud (b)segmented by Region Grow type of algorithm models the point cloud into a graph Machine learning treats point cloud segmentation as Segmentation methods based on edges and regions body contour extraction method based on LiDAR point cloud data [J]. 3D point cloud segmentation: A survey[C].2013 6th Based Multi-model Fitting for Point Cloud Segmentation. Optimized Lidar Point Cloud Scene Segmentation Method. recognition and model segmentation based on point cloud data [J].	./cache/work_evvbv2farjctznji56aki4kdpu.pdf	./txt/work_evvbv2farjctznji56aki4kdpu.txt