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ID CAM: A Smart Camera for Scene Capturing and ID Recognition
Tokyo, Japan October 07-October 10
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISMAR.2003.1240706The Second IEEE and ACM International ...
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Nobuyuki Matsushita, Daisuke Hihara, Teruyuki Ushiro, Shinichi Yoshimura, Jun Rekimoto, Yoshikazu Yamamoto, "ID CAM: A Smart Camera for Scene Capturing and ID Recognition," Mixed and Augmented Reality, IEEE / ACM International Symposium on, pp. 227, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003.
 
 
BibTex
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@article{ 10.1109/ISMAR.2003.1240706,
author = {Nobuyuki Matsushita and Daisuke Hihara and Teruyuki Ushiro and Shinichi Yoshimura and Jun Rekimoto and Yoshikazu Yamamoto},
title = {ID CAM: A Smart Camera for Scene Capturing and ID Recognition},
journal ={Mixed and Augmented Reality, IEEE / ACM International Symposium on},
volume = {0},
year = {2003},
isbn = {0-7695-2006-5},
pages = {227},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISMAR.2003.1240706},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Mixed and Augmented Reality, IEEE / ACM International Symposium on
TI - ID CAM: A Smart Camera for Scene Capturing and ID Recognition
SN - 0-7695-2006-5
SP
EP
A1 - Nobuyuki Matsushita,
A1 - Daisuke Hihara,
A1 - Teruyuki Ushiro,
A1 - Shinichi Yoshimura,
A1 - Jun Rekimoto,
A1 - Yoshikazu Yamamoto,
PY - 2003
KW - null
VL - 0
JA - Mixed and Augmented Reality, IEEE / ACM International Symposium on
ER -
 
Nobuyuki Matsushita, Sony Computer Science Laboratories, Inc.; Keio University
Daisuke Hihara, Sony-Kihara Research Center, Inc.
Teruyuki Ushiro, Sony-Kihara Research Center, Inc.
Shinichi Yoshimura, Sony-Kihara Research Center, Inc.
Jun Rekimoto, Sony Computer Science Laboratories, Inc.
Yoshikazu Yamamoto, Keio University
An ID recognition system is described that uses optical beacons and a high-speed image sensor. The ID sensor captures a scene like an ordinary camera and recognizes the ID of a beacon emitted over a long distance. The ID recognition system has three features. The system is robust to changes in the optical environment, e.g. complete darkness, spotlights, and sunlight. It can recognize up to 255 multiple optical beacons simultaneously. Furthermore, it can recognize beacons even over a long distance, e.g. 40 m indoors and 20 m outdoors. Implementation and evaluation of this ID recognition system showed that a mobile augmented reality system can be achieved by combining this ID recognition system with a PDA and a wireless network.
Citation:
Nobuyuki Matsushita, Daisuke Hihara, Teruyuki Ushiro, Shinichi Yoshimura, Jun Rekimoto, Yoshikazu Yamamoto, "ID CAM: A Smart Camera for Scene Capturing and ID Recognition," ismar, pp.227, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003
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