DocumentCode :
2720901
Title :
Computer vision methods for visual MIMO optical system
Author :
Yuan, Wenjia ; Dana, Kristin ; Varga, Michael ; Ashok, Ashwin ; Gruteser, Marco ; Mandayam, Narayan
Author_Institution :
Rutgers, State Univ. of New Jersey, Piscataway, NJ, USA
fYear :
2011
fDate :
20-25 June 2011
Firstpage :
37
Lastpage :
43
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.
Keywords :
LED displays; MIMO communication; antenna arrays; computer vision; image sensors; optical communication; wireless channels; camera-based optical wireless communication systems; computer monitors; computer vision methods; electronic billboards; electronic display appearance; electronic display detection; hand-held devices; light emitting displays; multiple antenna radio frequency communications channel; multiple transmitter radio frequency communications channel; transmission signal; visual MIMO channel; visual MIMO optical system; Cameras; Image segmentation; MIMO; Measurement; Monitoring; Optical transmitters; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location :
Colorado Springs, CO
ISSN :
2160-7508
Print_ISBN :
978-1-4577-0529-8
Type :
conf
DOI :
10.1109/CVPRW.2011.5981735
Filename :
5981735
Link To Document :
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