The novel camera architecture facilitates the development of machine vision. Instead of capturing frame sequences in the temporal domain as traditional video cameras, FourierCam directly measures the pixel-wise temporal spectrum of the video in single-shot through optical coding. Compared with the classic video cameras and time-frequency transformation pipeline, this programmable frequency-domain sampling strategy has an attractive combination of characteristics for low detection bandwidth, low-light imaging, low computational burden and low data volume. Based on the various temporal filter kernel designed by FourierCam, we demonstrated a series of exciting machine vision functions, such as video compression, background subtraction, object extraction, and trajectory tracking.
@article{arxiv.2002.07353,
title = {FourierCam:A camera for video spectrum acquisition in single-shot},
author = {Chengyang Hu and Honghao Huang and Minghua Chen and Sigang Yang and Hongwei Chen},
journal= {arXiv preprint arXiv:2002.07353},
year = {2020}
}