• Infrared and Laser Engineering
  • Vol. 50, Issue 10, 20210294 (2021)
Pengju Li1, Yasheng Zhang2, Yuqiang Fang2, and Zhiyong Yin2
Author Affiliations
  • 1Graduate College, Space Engineering University, Beijing 101416, China
  • 2Space Engineering University, Beijing 101416, China
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    DOI: 10.3788/IRLA20210294 Cite this Article
    Pengju Li, Yasheng Zhang, Yuqiang Fang, Zhiyong Yin. Denoising algorithm based on improved Markov random field for event camera[J]. Infrared and Laser Engineering, 2021, 50(10): 20210294 Copy Citation Text show less
    References

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    [2] Xiaolong Zhou, Qianqian Liu, Yifan Zuo, et al. Event camera-based visual tracking algorith: A survey. Mini-Micro Systems, 47, 342-350(2021).

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    [12] Jinjian Wu, Chuanwei Ma, Leida Li, et al. Probabilistic undirected graph based denoising method for dynamic vision sensor. IEEE Transactions on Multimedia, 299395(2020).

    [13] Mueggler E, Rebecq H, Gallego G, et al. The eventcamera dataset simulat: Eventbased data f pose estimation, visual odometry, SLAM[J]. International Journal of Robotics Research, 2016, 36(2): 142149.

    [14] Khodamoradi, and Kastner A, R. O(N)-space spatiotemporal filter for reducing noise in neuromorphic vision sensors. IEEE Transactions on Emerging Topics in Computing, 9, 15-23(2021).

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    Pengju Li, Yasheng Zhang, Yuqiang Fang, Zhiyong Yin. Denoising algorithm based on improved Markov random field for event camera[J]. Infrared and Laser Engineering, 2021, 50(10): 20210294
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