EAN: 9783319086507

COMPUTER VISION AND MACHINE LEARNING WITH RGB-D...

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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