SCRnet: A Spatial Consistency Guided Network Using Contrastive Learning for Point Cloud Registration

SCRnet: A Spatial Consistency Guided Network Using Contrastive Learning for Point Cloud Registration

Point cloud registration is used to find a rigid transformation from the source point cloud to the target point cloud. The main challenge in the point cloud registration is in finding correct correspondences in complex scenes that may contain many noise and repetitive structures. At present, many ex...

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Bibliographic Details
Main Authors:	Huixiang Shao, Zhijiang Zhang, Xiaoyu Feng, Dan Zeng
Format:	Article
Language:	English
Published:	MDPI AG 2022-01-01
Series:	Symmetry
Subjects:	point cloud registration contrastive learning spatial consistency deep learning
Online Access:	https://www.mdpi.com/2073-8994/14/1/140

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