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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 | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 17 september 2016 |
| ISBN13 | 9783319381053 |
| Utgivare | Springer International Publishing AG |
| Antal sidor | 316 |
| Mått | 150 × 220 × 10 mm · 559 g |
| Språk | Tyska |
| Redaktör | Han, Jungong |
| Redaktör | Kohli, Pushmeet |
| Redaktör | Shao, Ling |
| Redaktör | Zhang, Zhengyou |