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

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 cloud registr...

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Veröffentlicht in:	Scientific reports Jg. 15; H. 1; S. 15094 - 16
Hauptverfasser:	Liu, Zeyang, Lu, Zhiguo, Shan, Yancong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 29.04.2025 Nature Portfolio
Schlagworte:	Feature extraction Humanities and Social Sciences multidisciplinary Neural network Point cloud registration Science Science (multidisciplinary) Point cloud registration Feature extraction Neural network
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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