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...

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Detalhes bibliográficos
Principais autores: Fan Wang, Yingxiang Zhao, Gang Shi, Qing Cui, Tengfei Cao, Xian Jiang, Yongjie Hou, Rujun Zhuang, Yunfei Mei
Formato: Artigo
Idioma:English
Publicado em: MDPI AG 2022-06-01
coleção:Sensors
Assuntos:
Acesso em linha:https://www.mdpi.com/1424-8220/22/13/4878