A Geometry Feature Aggregation Method for Point Cloud Classification and Segmentation

A Geometry Feature Aggregation Method for Point Cloud Classification and Segmentation

In spite of the good performance of convolutional neural network (CNN) and graph neural network (GNN) in 3D point cloud classification and segmentation at present, to aggregate local information of point clouds and improve the robustness of geometric transformation are still challenging problems. In...

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Bibliographic Details
Main Authors: Yong Wang, Chenke Yue, Xintong Tang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Geometry feature
Laplacian feature
Euclidean space
attention mechanism
point cloud
Online Access:https://ieeexplore.ieee.org/document/9568922/

Internet

https://ieeexplore.ieee.org/document/9568922/

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