Survey of Point Cloud Semantic Segmentation Based on Deep Learning
In recent years, the popularity of depth sensors and 3D laserscanners has led to a rapid development of 3D point clouds processing methods. Semantic segmentation of point cloud, as a key step in understanding 3D scenes, has attracted extensive attention of researchers. With the rapid development of...
Main Author: | JING Zhuangwei, GUAN Haiyan, ZANG Yufu, NI Huan, LI Dilong, YU Yongtao |
---|---|
Format: | Article |
Language: | zho |
Published: |
Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press
2021-01-01
|
Series: | Jisuanji kexue yu tansuo |
Subjects: | |
Online Access: | http://fcst.ceaj.org/CN/abstract/abstract2520.shtml |
Similar Items
-
Deep-Learning-Based Point Cloud Semantic Segmentation: A Survey
by: Rui Zhang, et al.
Published: (2023-08-01) -
Domain knowledge-enhanced region growing framework for semantic segmentation of bridge point clouds
by: Yang, Tao, et al.
Published: (2024) -
Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion
by: Jing Du, et al.
Published: (2021-02-01) -
Multispectral LiDAR Point Cloud Classification Using SE-PointNet++
by: Zhuangwei Jing, et al.
Published: (2021-06-01) -
An Efficient Point Cloud Semantic Segmentation Method Based on Bilateral Enhancement and Random Sampling
by: Dan Shan, et al.
Published: (2023-12-01)