用事件相机多视角摄影测量，精准捕捉高速运动目标轨迹。
Event-based multi-view photogrammetry for high-dynamic, high-velocity target measurement
- 利用事件时序单调性提取目标前沿特征，消除拖尾干扰。
- 通过重投影误差关联事件点，数据量比传统方法提升显著。
- 结合速度衰减模型联合计算，适合高动态高速场景测量。
高动态、高速目标运动的力学特性表征在军工和精密制造领域至关重要，但现有测量方法存在动态范围有限、观测不连续、成本高等问题。本文提出一种基于事件相机的多视角摄影测量新方法，旨在解决上述挑战。首先，利用事件在时空分布上的单调性提取目标前缘特征，消除影响测量的拖尾效应；其次，采用重投影误差将事件与目标轨迹关联，获取的数据量超过传统交点法；最后，引入目标速度衰减模型对多视角数据进行联合拟合，实现高精度运动测量。在轻气炮碎片测试中，该方法相对于电磁测速仪的测量偏差仅为4.47%。
原文摘要 · Abstract (English)
The characterization of mechanical properties for high-dynamic, high-velocity target motion is essential in industries. It provides crucial data for validating weapon systems and precision manufacturing processes etc. However, existing measurement methods face challenges such as limited dynamic range, discontinuous observations, and high costs. This paper presents a new approach leveraging an event-based multi-view photogrammetric system, which aims to address the aforementioned challenges. First, the monotonicity in the spatiotemporal distribution of events is leveraged to extract the target's leading-edge features, eliminating the tailing effect that complicates motion measurements. Then, reprojection error is used to associate events with the target's trajectory, providing more data than traditional intersection methods. Finally, a target velocity decay model is employed to fit the data, enabling accurate motion measurements via ours multi-view data joint computation. In a light gas gun fragment test, the proposed method showed a measurement deviation of 4.47% compared to the electromagnetic speedometer.
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