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http://dx.doi.org/10.6109/jkiice.2014.18.8.1931

Hand shape recognition based on geometric feature using the convex-hull  

Choi, In-Kyu (Department of Electronic Engineering, Kwangwoon University)
Yoo, Jisang (Department of Electronic Engineering, Kwangwoon University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.8, 2014 , pp. 1931-1940 More about this Journal
Abstract
In this paper, we propose a new hand shape recognition algorithm based on the geometric features using the convex-hull from the depth image acquired by Kinect system. Kinect is a camera providing a depth image and user's skeleton information and used for detecting hand region. In the proposed algorithm, hand region is detected in a depth image acquired by Kinect and convex-hull of the region is found. Boundary points caused by noise and unnecessary points for recognition are eliminated in the convex-hull that changes depending on hand shape. Hand shape is recognized by the sum of internal angle of a polygon that is matched with convex-hull reconstructed with selected boundary points. Through experiments, we confirm that proposed algorithm shows high recognition rate not only for five models but also those cases rotated.
Keywords
Convex-hull; depth image; hand shape recognition; boundary point removal;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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