中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An Accurate Outlier Rejection Network With Higher Generalization Ability for Point Cloud Registration

文献类型:期刊论文

作者Guo, Shiyi1,3; Tang, Fulin3; Liu, Bingxi2; Fu, Yujie1,3; Wu, Yihong1,3
刊名IEEE ROBOTICS AND AUTOMATION LETTERS
出版日期2023-08-01
卷号8期号:8页码:4649-4656
关键词Point cloud compression Three-dimensional displays Feature extraction Correlation Learning systems Task analysis Robustness Point cloud registration outlier rejection 3D feature
ISSN号2377-3766
DOI10.1109/LRA.2023.3286168
通讯作者Wu, Yihong(yhwu@nlpr.ia.ac.cn)
英文摘要Feature-based point cloud registration algorithms have gained more attention recently for their high robustness. Outlier rejection is a key step of such algorithms. With the development of deep learning, some of the learning-based outlier rejection methods have been proposed and implemented in various scenes. However, generalization ability and accuracy of the existing methods in complex scenes still need to be improved. In this letter, we construct a neural network for removing outlier correspondences. Particularly, we propose a novel seed selection method based on feature consistency (FC) and a new loss function based on second order feature consistency (FC$<^>{2}$). Experimental results on various datasets show the proposed network achieves better accuracy and stronger generalization ability than the state-of-the-art learning-based algorithms.
资助项目National Natural Science Foundation of China[62202468] ; National Natural Science Foundation of China[61836015] ; National Natural Science Foundation of China[62002359]
WOS研究方向Robotics
语种英语
WOS记录号WOS:001021244900003
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/53639]  
专题多模态人工智能系统全国重点实验室
通讯作者Wu, Yihong
作者单位1.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
2.Peng Cheng Lab, Shenzhen 518066, Peoples R China
3.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Guo, Shiyi,Tang, Fulin,Liu, Bingxi,et al. An Accurate Outlier Rejection Network With Higher Generalization Ability for Point Cloud Registration[J]. IEEE ROBOTICS AND AUTOMATION LETTERS,2023,8(8):4649-4656.
APA Guo, Shiyi,Tang, Fulin,Liu, Bingxi,Fu, Yujie,&Wu, Yihong.(2023).An Accurate Outlier Rejection Network With Higher Generalization Ability for Point Cloud Registration.IEEE ROBOTICS AND AUTOMATION LETTERS,8(8),4649-4656.
MLA Guo, Shiyi,et al."An Accurate Outlier Rejection Network With Higher Generalization Ability for Point Cloud Registration".IEEE ROBOTICS AND AUTOMATION LETTERS 8.8(2023):4649-4656.

入库方式: OAI收割

来源:自动化研究所

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