Rotation Invariant Graph Neural Network for 3D Point Clouds

Rotation Invariant Graph Neural Network for 3D Point Clouds

In this paper we propose a novel rotation normalization technique for point cloud processing using an oriented bounding box. We use this method to create a point cloud annotation tool for part segmentation on real camera data. Custom data sets are used to train our network for classification and par...

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Bibliographic Details
Main Authors: Alexandru Pop, Victor Domșa, Levente Tamas
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Remote Sensing
Subjects:
computer vision
object part segmentation
classification
Online Access:https://www.mdpi.com/2072-4292/15/5/1437

Internet

https://www.mdpi.com/2072-4292/15/5/1437

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