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[会议论文]

A 3D individual tree modeling technique based on terrestrial LiDAR point cloud data

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author:

Huang, Hongyu (Huang, Hongyu.) [1] | Tang, Liyu (Tang, Liyu.) [2] (Scholars:唐丽玉) | Chen, Chongcheng (Chen, Chongcheng.) [3] (Scholars:陈崇成)

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EI Scopus

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. © 2015 IEEE.

Keyword:

3D modeling Clustering algorithms Data mining Forestry Image reconstruction Laser applications Plants (botany) Scanning Surveying instruments Three dimensional computer graphics Trees (mathematics)

Community:

  • [ 1 ] [Huang, Hongyu]Spatial Information Research Centre, Fuzhou University, 523 Gongye Rd, Fuzhou, Fujian, China
  • [ 2 ] [Tang, Liyu]Spatial Information Research Centre, Fuzhou University, 523 Gongye Rd, Fuzhou, Fujian, China
  • [ 3 ] [Chen, Chongcheng]Spatial Information Research Centre, Fuzhou University, 523 Gongye Rd, Fuzhou, Fujian, China

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Year: 2015

Page: 152-156

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 10

30 Days PV: 0

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