3D Registration in 30 Years: A Survey
December 18, 2024 ยท Declared Dead ยท ๐ arXiv.org
Repo contents: README.md
Authors
Jiaqi Yang, Chu'ai Zhang, Zhengbao Wang, Xinyue Cao, Xuan Ouyang, Xiyu Zhang, Zhenxuan Zeng, Zhao Zeng, Borui Lu, Zhiyi Xia, Qian Zhang, Yulan Guo, Yanning Zhang
arXiv ID
2412.13735
Category
cs.CV: Computer Vision
Citations
10
Venue
arXiv.org
Repository
https://github.com/Amyyyy11/3D-Registration-in-30-Years-A-Survey
โญ 27
Last Checked
1 month ago
Abstract
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.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Computer Vision
๐
๐
Old Age
๐
๐
Old Age
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
R.I.P.
๐ป
Ghosted
You Only Look Once: Unified, Real-Time Object Detection
๐
๐
Old Age
SSD: Single Shot MultiBox Detector
๐
๐
Old Age
Squeeze-and-Excitation Networks
R.I.P.
๐ป
Ghosted
Rethinking the Inception Architecture for Computer Vision
Died the same way โ ๐ Death by README
R.I.P.
๐
Death by README
Momentum Contrast for Unsupervised Visual Representation Learning
R.I.P.
๐
Death by README
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
R.I.P.
๐
Death by README
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
R.I.P.
๐
Death by README