Presentation | 2002/2/28 Hand Shape Recognition Based on Chordal Axis Transform Minami ASATANI, Jiro KATTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes a novel method of hand shape recognition for masked images of arms. Firstly, the mask contours are smoothed by discrete Fourier transform with thresholds in order to add tolerance against noises. Secondly, chordal axis transform (CAT) is applied to the smoothed contours and fingers are recognized based on triangulation structure achieved by CAT. Finally, each finger is identified by applying probabilistic models that are prepared for each finger beforehand. Experimental results show that the proposed method achieves 93% recognition ratio that is much better than the conventional ones and 84% identification ratio. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | chordal axis transform / hand shape recognition / human interface |
Paper # | MVE2001-143 |
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Committee | MVE |
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Conference Date | 2002/2/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Media Experience and Virtual Environment (MVE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Hand Shape Recognition Based on Chordal Axis Transform |
Sub Title (in English) | |
Keyword(1) | chordal axis transform |
Keyword(2) | hand shape recognition |
Keyword(3) | human interface |
1st Author's Name | Minami ASATANI |
1st Author's Affiliation | Graduate School of Science and Engineering, Waseda University() |
2nd Author's Name | Jiro KATTO |
2nd Author's Affiliation | Graduate School of Science and Engineering, Waseda University |
Date | 2002/2/28 |
Paper # | MVE2001-143 |
Volume (vol) | vol.101 |
Number (no) | 700 |
Page | pp.pp.- |
#Pages | 6 |
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