Computer Vision and Machine Learning with RGB-D Sensors

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Application Software, Computer Graphics, General Computing
Cover of the book Computer Vision and Machine Learning with RGB-D Sensors by , Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783319086514
Publisher: Springer International Publishing Publication: July 14, 2014
Imprint: Springer Language: English
Author:
ISBN: 9783319086514
Publisher: Springer International Publishing
Publication: July 14, 2014
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Improvised Explosive Devices by
Cover of the book Advances in Heat Transfer Enhancement by
Cover of the book Skull Base Surgery of the Posterior Fossa by
Cover of the book Varieties of European Economic Law and Regulation by
Cover of the book Application and Theory of Petri Nets and Concurrency by
Cover of the book Financial Crisis, Bank Behaviour and Credit Crunch by
Cover of the book Information Literacy in the Workplace by
Cover of the book BMS Particles in Three Dimensions by
Cover of the book Cultural Policy and Federalism by
Cover of the book Universities in the Age of Reform, 1800–1870 by
Cover of the book Deploying Foresight for Policy and Strategy Makers by
Cover of the book Financial Econometrics and Empirical Market Microstructure by
Cover of the book The Evolution and Significance of the Cuban Revolution by
Cover of the book Quantum [Un]Speakables II by
Cover of the book Advances in Human Factors in Architecture, Sustainable Urban Planning and Infrastructure by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy