Feature detection and description for image matching: from hand-crafted design to deep learning-Reference-Cited by-同舟云学术

Feature detection and description for image matching: from hand-crafted design to deep learning

Published:2020-11-17 Issue:1 Volume:24 Page:58-74
ISSN:1009-5020
Container-title:Geo-spatial Information Science
language:en
Short-container-title:Geo-spatial Information Science

Author:

Chen Lin¹^ORCID,Rottensteiner Franz¹^ORCID,Heipke Christian¹^ORCID

Affiliation:

1. Institute of Photogrammetry and GeoInformation (IPI), Leibniz Universität Hannover, Hannover, Germany

Publisher

Informa UK Limited

Subject

Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10095020.2020.1843376

Reference105 articles.

1. Interesting Interest Points

2. Building Rome in a day

3. FREAK: Fast Retina Keypoint

4. Balntas, V., E. Johns, L. Tang, and K. Mikolajczyk. 2016a. “PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors.” arXiv preprint arXiv:1601.05030.

Cited by 56 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High resolution and large field of view imaging using a stitching procedure coupled with distortion corrections;Optics & Laser Technology;2024-10

2. A Distorted-Image Quality Assessment Algorithm Based on a Sparse Structure and Subjective Perception;Mathematics;2024-08-16

3. An Enhanced Feature Matching Method for Multi-modal Remote Sensing Image Registration based on Multi-dimension Constraint;2024-07-11

4. 2D3D-DescNet: Jointly Learning 2D and 3D Local Feature Descriptors for Cross-Dimensional Matching;Remote Sensing;2024-07-08

5. On the symmetric transformation with geometric constraints;Geo-spatial Information Science;2024-07-05