Computer Vision Methods for Visual MIMO Optical System
Abstract
Cameras have become commonplace in phones, laptops, music-players and handheld games. Similarly, light emitting displays are prevalent in the form of electronic billboards, televisions, computer monitors, and hand-held devices. The prevalence of cameras and displays in our society creates a novel opportunity to build camera-based optical wireless communication systems based on a concept called visual MIMO. We extend the common term MIMO from the field of communications ("multiple-input multiple-output") that is typically used to describe multiple antenna, multiple transmitter radio frequency communications channel. In the visual MIMO communications paradigm, the transmitters are light-emitting devices such as electronic displays and cameras are the receivers. In this paper we discuss and address several challenges in creating a visual MIMO channel. These challenges include: (1) electronic display detection, (2) embedding the transmission signal in the display video, and (3) system characterization for electronic display appearance.
Cite
Text
Yuan et al. "Computer Vision Methods for Visual MIMO Optical System." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981735Markdown
[Yuan et al. "Computer Vision Methods for Visual MIMO Optical System." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/yuan2011cvprw-computer/) doi:10.1109/CVPRW.2011.5981735BibTeX
@inproceedings{yuan2011cvprw-computer,
title = {{Computer Vision Methods for Visual MIMO Optical System}},
author = {Yuan, Wenjia and Dana, Kristin J. and Varga, Michael and Ashok, Ashwin and Gruteser, Marco and Mandayam, Narayan B.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2011},
pages = {37-43},
doi = {10.1109/CVPRW.2011.5981735},
url = {https://mlanthology.org/cvprw/2011/yuan2011cvprw-computer/}
}