| 基于HDC提取关键点的手势识别算法 |
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| 引用本文： | 娄会东,肖强.基于HDC提取关键点的手势识别算法[J].安阳工学院学报,2007(4):69-72. |
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| 作者姓名： | 娄会东 肖强 |
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| 作者单位： | 1. 广东外语外贸大学
2. 华南理工大学,广州,510640 |
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| 摘 要： | 提出一种提取手势轮廓轮廓看成一条曲线,采用HDC(Hierarchical Discrete Correlation)方法用一个内核对曲线进行多次平滑,得到曲线的尺度空间,再通过跟踪曲线在尺度空间中的运动找出手势轮廓的关键点,最后通过最小距离法对手势进行识别.
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| 关 键 词： | 关键点 字母手势 层次离散相关 最小距离 |
Gesture Recognition Algorithm by Using HDC for Feature Pixels |
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| LOU Huidong,XIAO Qiang.Gesture Recognition Algorithm by Using HDC for Feature Pixels[J].Journal of Anyang Institute of Technology,2007(4):69-72. |
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| Authors: | LOU Huidong XIAO Qiang |
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| Abstract: | This paper presents a gesture recognition algorithm. Regarding the contour of letter gesture as a curve,we create a scale space of the curve by the application of the hierarchical discrete correlation. We then propose a new inter-scale method for feature detection based on the motion of a curve through scale space. Finally,we recognize gesture patterns be means of minimal distance of feature pixels. |
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| Keywords: | feature pixels letter gesture hierarchical discrete correlation minimal distance |
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