Asynchronous Event Stream Noise Filtering for High-frequency Structure Deformation Measurement
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866912770694316032 |
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| author | Bian, Yifei Guan, Banglei Liu, Zibin Su, Ang Zhu, Shiyao Shang, Yang Yu, Qifeng |
| author_facet | Bian, Yifei Guan, Banglei Liu, Zibin Su, Ang Zhu, Shiyao Shang, Yang Yu, Qifeng |
| contents | Large-scale structures suffer high-frequency deformations due to complex loads. However, harsh lighting conditions and high equipment costs limit measurement methods based on traditional high-speed cameras. This paper proposes a method to measure high-frequency deformations by exploiting an event camera and LED markers. Firstly, observation noise is filtered based on the characteristics of the event stream generated by LED markers blinking and spatiotemporal correlation. Then, LED markers are extracted from the event stream after differentiating between motion-induced events and events from LED blinking, which enables the extraction of high-speed moving LED markers. Ultimately, high-frequency planar deformations are measured by a monocular event camera. Experimental results confirm the accuracy of our method in measuring high-frequency planar deformations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_15055 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Asynchronous Event Stream Noise Filtering for High-frequency Structure Deformation Measurement Bian, Yifei Guan, Banglei Liu, Zibin Su, Ang Zhu, Shiyao Shang, Yang Yu, Qifeng Computer Vision and Pattern Recognition Large-scale structures suffer high-frequency deformations due to complex loads. However, harsh lighting conditions and high equipment costs limit measurement methods based on traditional high-speed cameras. This paper proposes a method to measure high-frequency deformations by exploiting an event camera and LED markers. Firstly, observation noise is filtered based on the characteristics of the event stream generated by LED markers blinking and spatiotemporal correlation. Then, LED markers are extracted from the event stream after differentiating between motion-induced events and events from LED blinking, which enables the extraction of high-speed moving LED markers. Ultimately, high-frequency planar deformations are measured by a monocular event camera. Experimental results confirm the accuracy of our method in measuring high-frequency planar deformations. |
| title | Asynchronous Event Stream Noise Filtering for High-frequency Structure Deformation Measurement |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2512.15055 |