Abstract
The Shape Context is not rotation-invariant as the gesture features, and the computational cost is expensive. In this paper, a novel method named as Shape Context based on the key points is proposed. The contour points with larger curvature are looked as key points, and the direction of the key point is described as x-axis direction, then Shape Context feature histogram is calculated. These make features translation, scaling and rotation invariant and reduce the time complexity. Meanwhile, the experiments show the method is effective and efficiency in the real-time system.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Software Engineering and Digital Media Technology |
| Pages | 577-585 |
| Number of pages | 9 |
| DOIs | |
| Publication status | Published - 2013 |
| Event | 2012 International Conference on Information Technology and Software Engineering, ITSE 2012 - Beijing, China Duration: 8 Dec 2012 → 10 Dec 2012 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 212 LNEE |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Conference
| Conference | 2012 International Conference on Information Technology and Software Engineering, ITSE 2012 |
|---|---|
| Country/Territory | China |
| City | Beijing |
| Period | 8/12/12 → 10/12/12 |
Keywords
- Hand gesture
- Invariant
- Recognition
- Shape context
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Zhang, S., Ma, L., & Wang, J. (2013). A framework of static hand shape recognition system. In Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Software Engineering and Digital Media Technology (pp. 577-585). (Lecture Notes in Electrical Engineering; Vol. 212 LNEE). https://doi.org/10.1007/978-3-642-34531-9_61