most citedAutomated classification of stems and leaves of potted plants based on point cloud data

4 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Fast tree skeleton extraction using voxel thinning based on tree point cloud

Jingqian Sun, Pei Wang, Ronghao Li +1

Tree skeleton plays an important role in tree structure analysis, forest inventory and ecosystem monitoring. However, it is a challenge to extract a skeleton from a tree point clou…

cs.CV2021

Wood-leaf classification of tree point cloud based on intensity and geometrical information

Jingqian Sun, Pei Wang, Zhiyong Gao +3

Terrestrial laser scanning (TLS) can obtain tree point cloud with high precision and high density. Efficient classification of wood points and leaf points is essential to study tre…

cs.CV20202 cited

Automatic sampling and training method for wood-leaf classification based on tree terrestrial point cloud

Zichu Liu, Qing Zhang, Pei Wang +2

Terrestrial laser scanning technology provides an efficient and accuracy solution for acquiring three-dimensional information of plants. The leaf-wood classification of plant point…

cs.CV20204 cited

Automated classification of stems and leaves of potted plants based on point cloud data

Zichu Liu, Qing Zhang, Pei Wang +2

The accurate classification of plant organs is a key step in monitoring the growing status and physiology of plants. A classification method was proposed to classify the leaves and…

cs.CV2020

Automatic marker-free registration of tree point-cloud data based on rotating projection

Xiuxian Xu, Pei Wang, Xiaozheng Gan +6

Point-cloud data acquired using a terrestrial laser scanner (TLS) play an important role in digital forestry research. Multiple scans are generally used to overcome occlusion effec…