Fast Registration of Point Cloud Based on Custom Semantic Extraction
With the increase in the amount of 3D point cloud data and the wide application of point cloud registration in various fields, the question of whether it is possible to quickly extract the key points of registration and perform accurate coarse registration has become a question to be urgently answer...
Main Authors: | Jianing Wu, Zhang Xiao, Fan Chen, Tianlin Peng, Zhi Xiong, Fengwei Yuan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/22/19/7479 |
Similar Items
-
A Local-Global Feature Fusing Method for Point Clouds Semantic Segmentation
by: Yuanwei Bi, et al.
Published: (2023-01-01) -
Semantic Segmentation for Point Clouds via Semantic-Based Local Aggregation and Multi-Scale Global Pyramid
by: Shipeng Cao, et al.
Published: (2022-12-01) -
Regional-to-Local Point-Voxel Transformer for Large-Scale Indoor 3D Point Cloud Semantic Segmentation
by: Shuai Li, et al.
Published: (2023-10-01) -
Automatic Point Cloud Registration for Large Outdoor Scenes Using a Priori Semantic Information
by: Jian Li, et al.
Published: (2021-09-01) -
Local Transformer Network on 3D Point Cloud Semantic Segmentation
by: Zijun Wang, et al.
Published: (2022-04-01)