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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
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 17. september 2016 |
| ISBN13 | 9783319381053 |
| Utgivere | Springer International Publishing AG |
| Antall sider | 316 |
| Mål | 150 × 220 × 10 mm · 559 g |
| Språk | Tysk |
| Redaktør | Han, Jungong |
| Redaktør | Kohli, Pushmeet |
| Redaktør | Shao, Ling |
| Redaktør | Zhang, Zhengyou |
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