2020/02/18 by Chengyang Hu, Honghao Huang, Hu, Chengyang +7
Computer Science · Engineering · Physics and Astronomy · #Advanced Optical Sensing Technologies #Advanced Vision and Imaging #FOS: Electrical engineering #FOS: Physical sciences #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #Optics (physics.optics) #eess.IV #electronic engineering #information engineering #physics.optics
paper · pdf · doi:10.48550/arxiv.2002.07353
openalex publication_date 2020/02/18 · arxiv created 2020/10/30 · arxiv updated 2020/11/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.