Téléchargez le livre : Computer Vision and Machine Learning with RGB-D Sensors

Computer Vision and Machine Learning with RGB-D Sensors

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Paru le : 2014-07-14

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...
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Description 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.

À propos

Auteur
Jungong Han , Pushmeet Kohli , Ling Shao , Zhengyou Zhang
Éditeur
Springer
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2014-07-14
Pages
316 pages
EAN papier
9783319086507

Caractéristiques détaillées - droits

EAN EPUB
9783319086514
Prix
52,99 €
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
10506 Ko
Ce livre est accessible aux handicaps informations d'accessibilité

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