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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
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | September 17, 2016 |
| ISBN13 | 9783319381053 |
| Publishers | Springer International Publishing AG |
| Pages | 316 |
| Dimensions | 150 × 220 × 10 mm · 476 g (Weight (estimated)) |
| Language | German |
| Editor | Han, Jungong |
| Editor | Kohli, Pushmeet |
| Editor | Shao, Ling |
| Editor | Zhang, Zhengyou |