用事件相机实现非侵入式振动分析，实时测频效果好，放大微动有挑战。
Non-Invasive Qualitative Vibration Analysis using Event Camera
- 利用事件相机高时序分辨率特性，实现实时频率测量。
- 在结构评估中可精准识别振动频率，但微动放大效果受限。
- 适合需要快速检测振动频率的工业巡检场景。
本技术报告研究事件视觉传感器在非侵入式定性振动分析中的应用，重点聚焦频率测量与运动放大。事件相机具备高时间分辨率和动态范围，适用于实时结构评估与微小运动分析。研究采用先进的事件视觉技术，在真实场景中探索振动分析中的频率测量与运动强度重建。结果显示，事件传感器在实时结构评估中表现出显著潜力；然而在运动放大方面，特别是在固定相机与孤立运动场景下，面临较大挑战。
原文摘要 · Abstract (English)
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.
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