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Proceedings Paper

Mobile robot control using 3D hand pose estimation
Author(s): Kiyoshi Hoshino; Takuya Kasahara; Naoki Igo; Motomasa Tomida; Takanobu Tanimoto; Toshimitsu Mukai; Gilles Brossard; Hajime Kotani
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Paper 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.

Paper Details

Date Published: 12 July 2011
PDF: 10 pages
Proc. SPIE 8000, Tenth International Conference on Quality Control by Artificial Vision, 80000I (12 July 2011); doi: 10.1117/12.890900
Show Author Affiliations
Kiyoshi Hoshino, Univ. of Tsukuba (Japan)
Takuya Kasahara, Univ. of Tsukuba (Japan)
Naoki Igo, Univ. of Tsukuba (Japan)
Motomasa Tomida, Univ. of Tsukuba (Japan)
Takanobu Tanimoto, Univ. of Tsukuba (Japan)
Toshimitsu Mukai, Crescent, Inc. (Japan)
Gilles Brossard, Crescent, Inc. (Japan)
Hajime Kotani, Crescent, Inc. (Japan)


Published in SPIE Proceedings Vol. 8000:
Tenth International Conference on Quality Control by Artificial Vision
Jean-Charles Pinoli; Johan Debayle; Yann Gavet; Frédéric Gruy; Claude Lambert, Editor(s)

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