Asynchronous Event Stream Noise Filtering for High-frequency Structure Deformation Measurement

TL;DR

This paper introduces a novel method using event cameras and LED markers to accurately measure high-frequency structural deformations, overcoming limitations of traditional high-speed camera techniques under challenging lighting conditions.

Contribution

The paper presents a new approach for high-frequency deformation measurement utilizing event cameras and LED markers, with noise filtering and event differentiation techniques.

Findings

Accurately measures high-frequency deformations

Effective noise filtering from event streams

Demonstrates robustness under challenging lighting conditions

Abstract

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.