Non-Invasive Qualitative Vibration Analysis using Event Camera
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866912076170002432 |
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| author | Bane, Dwijay Gupta, Anurag Suri, Manan |
| author_facet | Bane, Dwijay Gupta, Anurag Suri, Manan |
| contents | This technical report investigates the application of event-based vision sensors in non-invasive qualitative vibration analysis, with a particular focus on frequency measurement and motion magnification. Event cameras, with their high temporal resolution and dynamic range, offer promising capabilities for real-time structural assessment and subtle motion analysis. Our study employs cutting-edge event-based vision techniques to explore real-world scenarios in frequency measurement in vibrational analysis and intensity reconstruction for motion magnification. In the former, event-based sensors demonstrated significant potential for real-time structural assessment. However, our work in motion magnification revealed considerable challenges, particularly in scenarios involving stationary cameras and isolated motion. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_14364 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Non-Invasive Qualitative Vibration Analysis using Event Camera Bane, Dwijay Gupta, Anurag Suri, Manan Neural and Evolutionary Computing Image and Video Processing I.4.0 This technical report investigates the application of event-based vision sensors in non-invasive qualitative vibration analysis, with a particular focus on frequency measurement and motion magnification. Event cameras, with their high temporal resolution and dynamic range, offer promising capabilities for real-time structural assessment and subtle motion analysis. Our study employs cutting-edge event-based vision techniques to explore real-world scenarios in frequency measurement in vibrational analysis and intensity reconstruction for motion magnification. In the former, event-based sensors demonstrated significant potential for real-time structural assessment. However, our work in motion magnification revealed considerable challenges, particularly in scenarios involving stationary cameras and isolated motion. |
| title | Non-Invasive Qualitative Vibration Analysis using Event Camera |
| topic | Neural and Evolutionary Computing Image and Video Processing I.4.0 |
| url | https://arxiv.org/abs/2410.14364 |