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Proceedings Article

Mobile robot control using 3D hand pose estimation

[+] Author Affiliations
Kiyoshi Hoshino, Takuya Kasahara, Naoki Igo, Motomasa Tomida, Takanobu Tanimoto

Univ. of Tsukuba (Japan)

Toshimitsu Mukai, Gilles Brossard, Hajime Kotani

Crescent, Inc. (Japan)

Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000I (July 12, 2011); doi:10.1117/12.890900
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From Conference Volume 8000

  • Tenth International Conference on Quality Control by Artificial Vision
  • Jean-Charles Pinoli; Johan Debayle; Yann Gavet; Frédéric Gruy; Claude Lambert
  • Saint-Etienne, France | June 28, 2011

abstract

We propose a mobile robot control method using 3D hand pose estimation without using sensors or controllers. The hand pose estimation we propose reduces the number of image features per data set, which makes the construction of a large-scale database possible, as well as estimation of the 3D hand poses of unspecified users with individual differences without sacrificing estimation accuracy. The system involves the construction in advance of a large database comprising three elements: hand joint information including the wrist, low-order proportional information on the hand images indicating the rough hand shape, and hand pose data comprised of low-order image features per data set.

© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation

Kiyoshi Hoshino ; Takuya Kasahara ; Naoki Igo ; Motomasa Tomida ; Takanobu Tanimoto, et al.
"Mobile robot control using 3D hand pose estimation", Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000I (July 12, 2011); doi:10.1117/12.890900; http://dx.doi.org/10.1117/12.890900


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