Comparison of SIFT and SURF Methods for Use on Hand Gesture Recognition based on Depth Map

Author:

Sykora Peter,Kamencay Patrik,Hudec Robert

Publisher

Elsevier BV

Reference9 articles.

1. Yujie Shen, Zhonghua Hao, Pengfei Wang, Shiwei Ma, Wanquan Liu, A Novel Human Detection Approach Based on Depth Map via Kinect. Computer Vision and Pattern Recognition Workshops (CVPRW); 2013 IEEE Conference on , vol., no., pp.535,541, 23-28 June 2013.

2. Panwar M, Hand gesture recognition based on shape parameters. Computing, Communication and Applications (ICCCA); 2012 International Conference on , vol., no., pp.1,6, 22-24 Feb. 2012.

3. Jalal A, Uddin M Z, Kim T–S, Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home. Consumer Electronics; IEEE Transactions on , vol.58, no.3, pp.863,871; August 2012.

4. Wenjun T, Chengdong W, Shuying Z, Li J, Dynamic hand gesture recognition using motion trajectories and key frames. Advanced Computer Control (ICACC); 2010 2nd International Conference on , vol.3, no., pp.163,167, 27-29 March 2010.

5. S Matuska, R Hudec, M Benco, M Zachariasova, Opponent colour descriptors in object recognition. 15th International Conference on Research in Telecommunication Technologies; Senec Slovakia; ISBN 978-80-227-4026-5; 11-13 Sep. 2013.

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