Robust 3D Hand Detection for Gestures Recognition
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-24013-3_27.pdf
Reference10 articles.
1. Argyros, A.A., Lourakis, M.I.A.: Binocular Hand Tracking and Reconstruction Based on 2D Shape Matching. In: 18th International Conference on Pattern Recognition, pp. 207–210 (2006), doi:10.1109/ICPR.2006.327
2. Qing, C., Georganas, N.D., Petriu, E.M.: Hand Gesture Recognition Using Haar-Like Features and a Stochastic Context-Free Grammar. IEEE Transactions on Instrumentation and Measurement, 1562–1571 (2008), doi: 10.1109/TIM.2008.922070
3. Lecture Notes in Computer Science;S. Lei,2010
4. Ankit, C., Raheja, J., Karen, D., Sonia, R.: Intelligent Approaches to interact with Machines using Hand Gesture Recognition in Natural way:A Survey. International Journal of Computer Science & Engineering Survey (IJCSES) 2(1) (February 2011)
5. Hahn, M., Kruger, L., Wohler, C., Kummert, F.: 3D Action Recognition in an Industrial Environment. In: Proc. of 3rd Int. Workshop on Human-Centered Robotic Systems (HCRS 2009), Bielefeld, Germany (2009)
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