3D point cloud registration is a fundamental problem in computer vision, computer graphics, robotics, remote sensing, and etc. Over the last thirty years, we have witnessed the amazing advancement in this area with numerous kinds of solutions. Although a handful of relevant surveys have been conducted, their coverage is still limited. In this work, we present a comprehensive survey on 3D point cloud registration, covering a set of sub-areas such as pairwise coarse registration, pairwise fine registration, multi-view registration, cross-scale registration, and multi-instance registration. The datasets, evaluation metrics, method taxonomy, discussions of the merits and demerits, insightful thoughts of future directions are comprehensively presented in this survey. The regularly updated project page of the survey is available at https://github.com/Amyyyy11/3D-Registration-in-30-Years-A-Survey.
@article{arxiv.2412.13735,
title = {3D Registration in 30 Years: A Survey},
author = {Jiaqi Yang and Chu'ai Zhang and Zhengbao Wang and Xinyue Cao and Xuan Ouyang and Xiyu Zhang and Zhenxuan Zeng and Zhao Zeng and Borui Lu and Zhiyi Xia and Qian Zhang and Yulan Guo and Yanning Zhang},
journal= {arXiv preprint arXiv:2412.13735},
year = {2024}
}