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Quach et al., 2016 - Google Patents

Depth-based 3D hand pose tracking

Quach et al., 2016

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Document ID
16698106399896980448
Author
Quach K
Duong C
Luu K
Bui T
Publication year
Publication venue
2016 23rd International Conference on Pattern Recognition (ICPR)

External Links

Snippet

In this paper, we propose two new approaches using the Convolution Neural Network (CNN) and the Recurrent Neural Network (RNN) for tracking 3D hand poses. The first approach is a detection based algorithm while the second is a data driven method. Our first …
Continue reading at projet.liris.cnrs.fr (PDF) (other versions)

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