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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 | Kirjat Paperback Book (Kirja pehmeillä kansilla ja liimatulla selällä) |
| Julkaisupäivämäärä | lauantai 17. syyskuuta 2016 |
| ISBN13 | 9783319381053 |
| Tuottaja | Springer International Publishing AG |
| Sivujen määrä | 316 |
| Mitta | 150 × 220 × 10 mm · 559 g |
| Kieli | Saksa |
| Toimittaja | Han, Jungong |
| Toimittaja | Kohli, Pushmeet |
| Toimittaja | Shao, Ling |
| Toimittaja | Zhang, Zhengyou |
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