Robust static hand gesture recognition: harnessing sparsity of deeply learned features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software
Link
https://link.springer.com/content/pdf/10.1007/s00371-023-03179-0.pdf
Reference75 articles.
1. Mohanty, A., Rambhatla, S.S., Sahay, R.R.: Deep gesture: static hand gesture recognition using cnn. In: Proceedings of International Conference on Computer Vision and Image Processing, pp. 449–461, Springer (2017)
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3. Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278–2324 (1998)
4. Kumar, P.P., Vadakkepat, P., Loh, A.P.: Hand posture and face recognition using a fuzzy-rough approach. Int. J. Humanoid Rob. 7(3), 331–356 (2010)
5. Pisharady, P.K., Vadakkepat, P., Loh, A.P.: Attention based detection and recognition of hand postures against complex backgrounds. Int. J. Comput. Vis. 101(3), 403–419 (2013)
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