Ge Zhou, Meng Nan, Song Li, Lam Edmund Y
Appl Opt. 2021 Jan 1;60(1):172-178. doi: 10.1364/AO.412601.
Dynamic laser speckle analysis (DLSA) can obtain useful information about the scene dynamics. Traditional implementations use intensity-based imaging sensors such as a complementary metal oxide semiconductor and charge-coupled device to capture time-varying intensity frames. We use an event sensor that measures pixel-wise asynchronous brightness changes to record speckle pattern sequences. Our approach takes advantage of the low latency and high contrast sensitivity of the event sensor to implement DLSA with high temporal resolution. We also propose two evaluation metrics designed especially for event data. Comparison experiments are conducted in identical conditions to demonstrate the feasibility of our proposed approach.
动态激光散斑分析（DLSA）可以获取有关场景动态的有用信息。传统的实现方式使用基于强度的成像传感器，如互补金属氧化物半导体和电荷耦合器件，来捕获随时间变化的强度帧。我们使用一种事件传感器，该传感器测量逐像素的异步亮度变化以记录散斑图案序列。我们的方法利用事件传感器的低延迟和高对比度灵敏度，以高时间分辨率实现DLSA。我们还提出了两个专门为事件数据设计的评估指标。在相同条件下进行了比较实验，以证明我们提出的方法的可行性。
