Image Patch-Matching With Graph-Based Learning in Street Scenes-Reference-Cited by-同舟云学术

Image Patch-Matching With Graph-Based Learning in Street Scenes

Published:2023 Issue: Volume:32 Page:3465-3480
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

She Rui¹^ORCID,Kang Qiyu¹^ORCID,Wang Sijie¹,Tay Wee Peng¹^ORCID,Guan Yong Liang¹^ORCID,Navarro Diego Navarro²,Hartmannsgruber Andreas²^ORCID

Affiliation:

1. Continental-NTU Corporate Laboratory, Nanyang Technological University, Jurong West, Singapore

2. Continental Automotive Singapore Pte. Ltd, Boon Keng, Singapore

Funder

Singapore Ministry of Education Academic Research Fund Tier 2

RIE2020 Industry Alignment Fund-Industry Collaboration Projects (IAF-ICP) Funding Initiative, as well as cash and in-kind contribution from the industry partne

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10144565.pdf?arnumber=10144565

Reference77 articles.

1. Visual-lidar odometry and mapping: low-drift, robust, and fast

2. GLMNet: Graph learning-matching convolutional networks for feature matching

3. Learning Multi-View Camera Relocalization With Graph Neural Networks

4. Block-based image matching for image retrieval

5. Speeded-Up Robust Features (SURF)

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