Cargando…
Scattered Train Bolt Point Cloud Segmentation Based on Hierarchical Multi-Scale Feature Learning
In view of the difficulty of using raw 3D point clouds for component detection in the railway field, this paper designs a point cloud segmentation model based on deep learning together with a point cloud preprocessing mechanism. First, a special preprocessing algorithm is designed to resolve the pro...
Autores principales: | Zeng, Ni, Li, Jinlong, Zhang, Yu, Gao, Xiaorong, Luo, Lin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962661/ https://www.ncbi.nlm.nih.gov/pubmed/36850615 http://dx.doi.org/10.3390/s23042019 |
Ejemplares similares
-
Point Cloud Semantic Segmentation Network Based on Multi-Scale Feature Fusion
por: Du, Jing, et al.
Publicado: (2021) -
DOPNet: Achieving Accurate and Efficient Point Cloud Registration Based on Deep Learning and Multi-Level Features
por: Yi, Rongbin, et al.
Publicado: (2022) -
Effective Point Cloud Analysis Using Multi-Scale Features
por: Zheng, Qiang, et al.
Publicado: (2021) -
Recognizing Objects in 3D Point Clouds with Multi-Scale Local Features
por: Lu, Min, et al.
Publicado: (2014) -
Matching Algorithm for 3D Point Cloud Recognition and Registration Based on Multi-Statistics Histogram Descriptors
por: Li, Jinlong, et al.
Publicado: (2022)