Temporal feature markers for event cameras-Reference-Cited by-同舟云学术

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Temporal feature markers for event cameras

Published:2024-02-27 Issue:2 Volume:21 Page:
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

You Yue,Zhu Mingzhu,He Bingwei,Wang Yihong

Funder

National Natural Science Foundation of China

Nature Science Foundation of Fujian Province

University-Industry Cooperation Project in Fujian Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11554-024-01422-y.pdf

Reference21 articles.

1. Aladem, M., Rawashdeh, S.A.: A multi-cluster tracking algorithm with an event camera. In: Proceedings of the IEEE National Aerospace and Electronics Conference, pp. 391–397 (2019). https://doi.org/10.1109/NAECON46414.2019.9058204

2. Alzugaray, I., Chli, M.: Asynchronous multi-hypothesis tracking of features with event cameras. In: Proceedings of the IEEE International Conference of 3D Vision, pp. 269–278 (2019). https://doi.org/10.1109/3DV.2019.00038

3. Chamorro, W., Sola, J., Andrade-Cetto, J.: Event-based line slam in real-time. IEEE Robot. Automat. Lett. 7(3), 8146–8153 (2022)

4. Dietsche, A., Cioffi, G., Hidalgo-Carrió, J., Scaramuzza, D.: Powerline tracking with event cameras. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 6990–6997 (2021). https://doi.org/10.48550/arXiv.2108.00515

5. Gallego, G., Lund, J.E., Mueggler, E., Rebecq, H., Delbruck, T., Scaramuzza, D.: Event-based, 6-DOF camera tracking from photometric depth maps. IEEE Trans. Pattern Anal. Mach. Intell. 40(10), 2402–2412 (2017). https://doi.org/10.1109/TPAMI.2017.2769655

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