CGR-Block: Correlated Feature Extractor and Geometric Feature Fusion for Point Cloud Analysis

Point cloud processing based on deep learning is developing rapidly. However, previous networks failed to simultaneously extract inter-feature interaction and geometric information. In this paper, we propose a novel point cloud analysis module, CGR-block, which mainly uses two units to learn point c...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Fan, Zhao, Yingxiang, Shi, Gang, Cui, Qing, Cao, Tengfei, Jiang, Xian, Hou, Yongjie, Zhuang, Rujun, Mei, Yunfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269159/
https://www.ncbi.nlm.nih.gov/pubmed/35808371
http://dx.doi.org/10.3390/s22134878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269159/
https://www.ncbi.nlm.nih.gov/pubmed/35808371
http://dx.doi.org/10.3390/s22134878

Ejemplares similares