Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition (Hardback)
  • Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition (Hardback)
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Computer Vision and Machine Learning with RGB-D Sensors - Advances in Computer Vision and Pattern Recognition (Hardback)

(editor), (editor), (editor), (editor)
£85.50
Hardback 316 Pages / Published: 05/08/2014
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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.

Publisher: Springer International Publishing AG
ISBN: 9783319086507
Number of pages: 316
Weight: 6746 g
Dimensions: 235 x 155 x 19 mm
Edition: 2014 ed.

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