Produktnummer:
18016be59d3f9349c4b5cfc0699d967d08
| Themengebiete: | Computer Vision Consumer Electronics Human-Computer Interaction Intelligent Systems Machine Learning Pattern Recognition RGB-D Sensors |
|---|---|
| Veröffentlichungsdatum: | 17.09.2016 |
| EAN: | 9783319381053 |
| Sprache: | Englisch |
| Seitenzahl: | 316 |
| Produktart: | Kartoniert / Broschiert |
| Herausgeber: | Han, Jungong Kohli, Pushmeet Shao, Ling Zhang, Zhengyou |
| Verlag: | Springer International Publishing |
Produktinformationen "Computer Vision and Machine Learning with RGB-D Sensors"
This book presents an interdisciplinary selection of cutting-edge research on RGB-D based computer vision. Features: discusses the calibration of color and depth cameras, the reduction of noise on depth maps and methods for capturing human performance in 3D; reviews a selection of applications which use RGB-D information to reconstruct human figures, evaluate energy consumption and obtain accurate action classification; presents an approach for 3D object retrieval and for the reconstruction of gas flow from multiple Kinect cameras; describes an RGB-D computer vision system designed to assist the visually impaired and another for smart-environment sensing to assist elderly and disabled people; 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.
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