Hierarchical Clustering Matching for Features with Repetitive Patterns in Visual Odometry-Reference-Cited by-同舟云学术

Hierarchical Clustering Matching for Features with Repetitive Patterns in Visual Odometry

Published:2020-07-18 Issue:3-4 Volume:100 Page:1139-1155
ISSN:0921-0296
Container-title:Journal of Intelligent & Robotic Systems
language:en
Short-container-title:J Intell Robot Syst

Author:

Lin Tianpei,Wang Xuanyin

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Industrial and Manufacturing Engineering,Mechanical Engineering,Control and Systems Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s10846-020-01230-z.pdf

Reference37 articles.

1. Aguilar, W., Frauel, Y., Escolano, F., Martinezperez, M. E., Espinosaromero, A., Lozano, M.: A robust graph transformation matching for non-rigid registration. Image Vis. Comput. 27(7), 897–910 (2009)

2. Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (surf). Comput. Vis. Image Underst. 110(3), 346–359 (2008)

3. Engel, J., Koltun, V., Cremers, D.: Direct sparse odometry. IEEE Trans. Pattern Anal. Mach. Intell. 40(3), 611–625 (2018)

4. Engel, J., Schöps, T., Cremers, D.: Lsd-Slam: Large-Scale Direct Monocular Slam. In: European Conference on Computer Vision, pp. 834–849. Springer (2014)

5. Fan, B., Wu, F., Hu, Z.: Towards reliable matching of images containing repetitive patterns. Pattern Recogn. Lett. 32(14), 1851–1859 (2011)

Cited by 3 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. Local feature matching from detector-based to detector-free: a survey;Applied Intelligence;2024-03

2. DenseFilter: Feature Correspondence Filter Based on Dense Networks for VSLAM;Journal of Intelligent & Robotic Systems;2022-09

3. A Robust Segmentation Method for Chinese Inscription Images;2021 5th Annual International Conference on Data Science and Business Analytics (ICDSBA);2021-09