English

Event Ellipsometer: Event-based Mueller-Matrix Video Imaging

Computer Vision and Pattern Recognition 2025-04-08 v2

Abstract

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.

Keywords

Cite

@article{arxiv.2411.17313,
  title  = {Event Ellipsometer: Event-based Mueller-Matrix Video Imaging},
  author = {Ryota Maeda and Yunseong Moon and Seung-Hwan Baek},
  journal= {arXiv preprint arXiv:2411.17313},
  year   = {2025}
}

Comments

Accepted to the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025

R2 v1 2026-06-28T20:12:59.824Z