Registration of 3D Point Clouds Based on Voxelization Simplify and Accelerated Iterative Closest Point Algorithm

Wang, Jiayu; Liu, Hongjun

doi:10.1007/978-3-030-93046-2_24

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2023

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“…Therefore, at the preprocessing stage, points that are not within the scope of the study should be removed [30]. Another process is down-sampling, which was often used to accelerate point cloud registration [31].…”

Section: Preprocessingmentioning

confidence: 99%

Soft Segmentation of Terrestrial Laser Scanning Point Cloud of Forests

Dai

2023

Applied Sciences

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As the three-dimensional (3D) laser scanner is widely used for forest inventory, analyzing and processing point cloud data captured with a 3D laser scanner have become an important research topic in recent years. The extraction of single trees from point cloud data is essential for further investigation at the individual tree level, such as counting trees and trunk analysis, and many developments related to this topic have been published. However, constructing an accurate and automated method to obtain the tree crown silhouette from the point cloud data is challenging because the tree crowns often overlap between adjacent trees. A soft segmentation method that uses K-Nearest Neighbor (KNN) and contour shape constraints at the overlap region is proposed to solve this task. Experimental results show that the visual effect of the tree crown shape and the precision of point cloud segmentation have improved. It is concluded that the proposed method works well for tree crown segmentation and silhouette reconstruction from the terrestrial laser scanning point cloud data of the forest.

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Section: Preprocessingmentioning

confidence: 99%

Soft Segmentation of Terrestrial Laser Scanning Point Cloud of Forests

Dai

2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

Registration of 3D Point Clouds Based on Voxelization Simplify and Accelerated Iterative Closest Point Algorithm

Cited by 1 publication

References 32 publications

Soft Segmentation of Terrestrial Laser Scanning Point Cloud of Forests

Soft Segmentation of Terrestrial Laser Scanning Point Cloud of Forests

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