Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes

Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes

Abstract Point cloud registration of 3D shapes remains a formidable challenge in computer vision and autonomous driving. This paper introduces a novel learning-based registration method, titled Point Rotation Invariant Feature and Attention Fusion Network (PRIF), specifically tailored for point clou...

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Bibliographic Details
Main Authors: Zeyang Liu, Zhiguo Lu, Yancong Shan
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Neural network
Point cloud registration
Feature extraction
Online Access:https://doi.org/10.1038/s41598-025-99240-0
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https://doi.org/10.1038/s41598-025-99240-0

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