让偏振成像突破静态限制，实现30帧动态视频捕捉
Event Ellipsometer: Event-based Mueller-Matrix Video Imaging
- 用旋转波片+事件相机同步捕捉偏振变化
- 实测达成30帧每秒的穆勒矩阵视频成像
- 适合动态场景偏振分析，如生物或工业检测
光与物质相互作用会改变光的强度和偏振状态。偏振变化由穆勒矩阵表征，蕴含丰富场景信息。现有光学椭偏仪虽能获取穆勒矩阵图像，但因采集时间长，多限于静态场景。本文提出事件椭偏仪（Event Ellipsometer），实现动态场景下的穆勒矩阵视频成像。系统在光源前设置快速旋转的四分之一波片（QWPs），并配合事件相机异步捕获波片旋转引发的强度变化。我们构建了椭偏-事件图像形成模型、校准方法及重建算法。实验表明，该系统可实现30fps的穆勒矩阵视频成像，将椭偏技术拓展至动态场景。
原文摘要 · Abstract (English)
Light-matter interactions modify both the intensity and polarization state of light. Changes in polarization, represented by a Mueller matrix, encode detailed scene information. Existing optical ellipsometers capture Mueller-matrix images; however, they are often limited to capturing static scenes due to long acquisition times. Here, we introduce Event Ellipsometer, a method for acquiring a Mueller-matrix video for dynamic scenes. Our imaging system employs fast-rotating quarter-wave plates (QWPs) in front of a light source and an event camera that asynchronously captures intensity changes induced by the rotating QWPs. We develop an ellipsometric-event image formation model, a calibration method, and an ellipsometric-event reconstruction method. We experimentally demonstrate that Event Ellipsometer enables Mueller-matrix video imaging at 30fps, extending ellipsometry to dynamic scenes.
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