Robust Point Cloud Registration Framework Based on Deep Graph Matching

3D point cloud registration is a fundamental problem in computer vision and robotics. Recently, learning-based point cloud registration methods have made great progress. However, these methods are sensitive to outliers, which lead to more incorrect correspondences. In this paper, we propose a novel...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 45; H. 5; S. 1 - 13
Hauptverfasser:	Fu, Kexue, Luo, Jiazheng, Luo, Xiaoyuan, Liu, Shaolei, Zhang, Chenxi, Wang, Manning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Computer vision Correspondence Deep learning Feature extraction Geometry Graph Matching Graph theory Neural networks Outliers (statistics) Point cloud compression Point Cloud Registration Prediction algorithms Registration Robotics Three dimensional models Topology Transformers
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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