Leveraging Local Planar Motion Property for Robust Visual Matching and Localization-Reference-Cited by-同舟云学术

Leveraging Local Planar Motion Property for Robust Visual Matching and Localization

Published:2022-07 Issue:3 Volume:7 Page:7589-7596
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Jiao Yanmei¹^ORCID,Zhang Qunkang¹^ORCID,Chen Qunying²,Fu Bo¹,Han Fuzhang¹,Wang Yue¹^ORCID,Xiong Rong¹^ORCID

Affiliation:

1. State Key Laboratory of Industrial Control and Technology, Zhejiang University, Hangzhou, China

2. Hangzhou Jiazhi Technology Company, Ltd., Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9750005/09801615.pdf?arnumber=9801615

Reference35 articles.

1. SuperGlue: Learning Feature Matching With Graph Neural Networks

2. Patch2Pix: Epipolar-Guided Pixel-Level Correspondences

3. Complete solution classification for the perspective-three-point problem

4. Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM

5. An Efficient Algebraic Solution to the Perspective-Three-Point Problem

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