ResSANet: Learning Geometric Information for Point Cloud Processing

ResSANet: Learning Geometric Information for Point Cloud Processing

Point clouds with rich local geometric information have potentially huge implications in several applications, especially in areas of robotic manipulation and autonomous driving. However, most point cloud processing methods cannot extract enough geometric features from a raw point cloud, which restr...

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Bibliographic Details
Main Authors: Xiaojun Zhu, Zheng Zhang, Jian Ruan, Houde Liu, Hanxu Sun
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
point-cloud processing
deep neural networks
machine learning
geometric primitives
Online Access:https://www.mdpi.com/1424-8220/21/9/3227

Internet

https://www.mdpi.com/1424-8220/21/9/3227

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