Computer Vision and Machine Learning with RGB-D Sensors

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Détails du livre

Titre : Computer Vision and Machine Learning with RGB-D Sensors
Pages : 316
Collection : Advances in Computer Vision and Pattern Recognition
Parution : 2014-07-14
Éditeur : Springer
EAN papier : 9783319086507
À propos du livre

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.

Format EPUB - Nb pages copiables : 3 - Nb pages imprimables : 31 - Poids : 10506 Ko - - Prix : 52,74 € - EAN : 9783319086514

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