Visualization and noise reduction algorithm based on event camera

被引：0

作者：

Yan C. ^{[1
]}

Wang X. ^{[1
]}

Zuo Y. ^{[1
]}

Li L. ^{[2
]}

Chen J. ^{[2
]}

机构：

[1] School of Optics and Photonics, Beijing Institute of Technology, Beijing

[2] School of Automation, Beijing Institute of Technology, Beijing

来源：

Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics | 2021年 / 47卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Event camera; Noise reduction; Robustness; Visual navigation; Visualization;

D O I：

10.13700/j.bh.1001-5965.2020.0192

中图分类号：

学科分类号：

摘要：

To overcome the problem that the asynchronous event stream generated by the event camera is hard to observe, utilize and there is a lot of noise, we introduce an improved visualization and noise reduction algorithm for the event camera. Because the event stream reacts to the object movement, the proposed algorithm gets valid events by filtering the noise with the time and space continuity of moving edge. To easily observe and apply, events are accumulated with a double limitation of the events number and the time threshold. In the real dataset experiment, the noise reduction algorithm can effectively deal with the background activity noise and save the detail edge information when the movement begins or moves slowly, increasing the number of corner detections. The visualization algorithm reduces the variance of events number while ensuring the frame rate, and improves the information uniformity of the "event frame". The experimental results show the effectiveness of the proposed method in terms of noise reduction and visualization. © 2021, Editorial Board of JBUAA. All right reserved.

引用

页码：342 / 350

页数：8

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