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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
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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 17 de septiembre de 2016 |
| ISBN13 | 9783319381053 |
| Editores | Springer International Publishing AG |
| Páginas | 316 |
| Dimensiones | 150 × 220 × 10 mm · 476 g (Peso (estimado)) |
| Lengua | Alemán |
| Editor | Han, Jungong |
| Editor | Kohli, Pushmeet |
| Editor | Shao, Ling |
| Editor | Zhang, Zhengyou |