Computer Vision and Machine Learning with RGB-D Sensors

Computer Vision and Machine Learning with RGB-D Sensors

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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.SR4000 User Manual (http://www.mesa-imaging) 61. Marion AH, Michael AJ ( Eds) (2008) Assistive technology for visually impaired and blind people. Springer , London 62. Zhang Z (2012) Microsoft kinect sensor and its effect. IEEE MultiMediaanbsp;...

Title:Computer Vision and Machine Learning with RGB-D Sensors
Author:Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang
Publisher:Springer - 2014-07-14


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