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VALSE 论文速览 第214期:基于深度学习的点云配准综述与分类

2025-5-12 10:37| 发布者: 程一-计算所| 查看: 11| 评论: 0

摘要: 为了使得视觉与学习领域相关从业者快速及时地了解领域的最新发展动态和前沿技术进展,VALSE最新推出了《论文速览》栏目,将在每周发布一至两篇顶会顶刊论文的录制视频,对单个前沿工作进行细致讲解。本期VALSE论文速 ...

为了使得视觉与学习领域相关从业者快速及时地了解领域的最新发展动态和前沿技术进展,VALSE最新推出了《论文速览》栏目,将在每周发布一至两篇顶会顶刊论文的录制视频,对单个前沿工作进行细致讲解。本期VALSE论文速览聚焦东南大学的基于深度学习的点云配准综述,桂杰教授指导,一作张玉欣同学录制。


论文题目:

A Comprehensive Survey and Taxonomy on Point Cloud Registration Based on Deep Learning

作者列表:

张玉欣 (东南大学), 桂杰 (东南大学), 丛晓峰 (东南大学),公鑫 (东南大学),陶文兵 (华中科技大学)


B站观看网址:

https://www.bilibili.com/video/BV1BnoEYhEK7/?spm_id_from=333.1387.upload.video_card.click&vd_source=2044ac986b5caa4c8b5f00b525441df3


复制链接到浏览器打开或点击阅读原文即可跳转至观看页面。


论文摘要:

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: supervised and unsupervised registration, providing insights into the core concepts of various infuential PCR models. Finally, we highlight open challenges and potential directions for future research. 


论文链接:

https://www.ijcai.org/proceedings/2024/922


代码链接:

https://github.com/yxzhang15/PCR


视频讲者简介:

张玉欣,东南大学的在读博士。研究方向为计算机视觉与点云处理。



特别鸣谢本次论文速览主要组织者:

月度轮值AC:杨旭 (西安电子科技大学)


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