Computer Vision and Machine Learning with RGB-D Sensors
Format: Hardcover
ISBN13: 9783319086507
Hardcover|9783319086507
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Overview
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.
| ISBN-13 | 9783319086507 |
|---|---|
| ISBN-10 | 3319086502 |
| Weight | 1.70 Pounds |
| Dimensions | 6.14 x 0.75 x 9.21 In |
| List Price | $54.99 |
| Edition | 1st Edition |
| Format | Hardcover |
|---|---|
| Language | English |
| Pages | x, 316 pages |
| Publisher | Springer |
| Published On | 2014-08-05 |
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