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A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning
April 23, 2024, 4:47 a.m. | Yu-Xin Zhang, Jie Gui, Xiaofeng Cong, Xin Gong, Wenbing Tao
cs.CV updates on arXiv.org arxiv.org
Abstract: Point cloud registration (PCR) involves determining a rigid transformation that aligns one point cloud to another. Despite the plethora of outstanding deep learning (DL)-based registration methods proposed, comprehensive and systematic studies on DL-based PCR techniques are still lacking. In this paper, we present a comprehensive survey and taxonomy of recently proposed PCR methods. Firstly, we conduct a taxonomy of commonly utilized datasets and evaluation metrics. Secondly, we classify the existing research into two main categories: …
arxiv cloud cs.cv deep learning registration survey taxonomy type
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