Title
A 3D individual tree modeling technique based on terrestrial LiDAR point cloud data
Abstract
Terrestrial Laser Scanner (TLS) has been used to record three-dimensional (3D) point cloud data of trees, and this data is being further processed to extract morphological parameters of standing trees and reconstruct 3D geometric model. We present an efficient, high-accuracy and photorealistic 3D single tree reconstruction technique based on the point cloud of individual standing tree acquired mainly from TLS. Our method can process point cloud data of the whole tree directly without the need to first segment data into leaves and branches. It also allows user to interactively edit and adjust model parameters to better fie the data.
Year
DOI
Venue
2015
10.1109/ICSDM.2015.7298043
2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (ICSDM)
Keywords
Field
DocType
Standing tree,Virtual plant,Skeleton extraction,Three dimensional reconstruction,Interactive editing,Terrestrial laser scanner
Data modeling,Computer vision,Laser scanning,Computer science,Geometric modeling,Remote sensing,Lidar,Artificial intelligence,Solid modeling,Tree modeling,Point cloud
Conference
ISBN
Citations 
PageRank 
978-1-4799-7748-2
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Huang Hongyu142.07
Liyu Tang200.34
Chongcheng Chen310826.08