HAND SHAPE RECOGNITION USING DISTANCE TRANSFORM AND SHAPE DECOMPOSITION

被引：0
|
作者：
Choi, Junyeong [1 ]
Park, Hanhoon [2 ]
Park, Jong-Il [1 ]
机构：
[1] Hanyang Univ, Seoul 133791, South Korea
[2] NHK STRL, Tokyo, Japan
来源：
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2011年
关键词：
Hand shape recognition; image decomposition; principal component analysis; histograms; distance transform;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Hand shape is a natural and human-friendly interface for human-computer interaction. This paper proposes a real-time and 2D vision-based hand shape recognition method. The method is robust to hand pose changes because the hand pose is neutralized after recognizing a hand pose using distance transform, principal component analysis (PCA), and histogram analysis. Also, the context-based recognition method using shape decomposition can effectively recognize tiny changes of fingers. The method worked at 44.8 fps and had a recognition rate of 83% on average in the experiment with 800 images including 5 hand shapes and 16 hand poses.
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页数：4
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