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Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition Softcover reprint of the original 1st ed. 2014 edition
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Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition
examines the effective features that characterize static hand poses and introduces a unified framework to enforce both temporal and spatial constraints for hand parsing; proposes a new classifier architecture for real-time hand pose recognition and a novel hand segmentation and gesture recognition system.
326 pages, 15 black & white illustrations, 148 colour illustrations, 27 black & white tables, biogra
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2016. gada 17. septembris |
| ISBN13 | 9783319381053 |
| Izdevēji | Springer International Publishing AG |
| Lapas | 316 |
| Izmēri | 150 × 220 × 10 mm · 476 g (Svars (aptuveni)) |
| Valoda | Vācu |
| Redaktors | Han, Jungong |
| Redaktors | Kohli, Pushmeet |
| Redaktors | Shao, Ling |
| Redaktors | Zhang, Zhengyou |
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