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Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition Ling Shao 2014 edition
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Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition
Ling Shao
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 Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2014. gada 5. augusts |
| ISBN13 | 9783319086507 |
| Izdevēji | Springer International Publishing AG |
| Žanrs | Aspects (Academic) > Science / Technology Aspects |
| Lapas | 316 |
| Izmēri | 241 × 166 × 24 mm · 672 g |
| Valoda | Franču |
| Redaktors | Han, Jungong |
| Redaktors | Kohli, Pushmeet |
| Redaktors | Shao, Ling |
| Redaktors | Zhang, Zhengyou |
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