Editor(s): Shao, Ling; Han, Jungong; Kohli, Pushmeet; Zhang, Zhengyou. Series: Advances in Computer Vision and Pattern Recognition. Num Pages: 326 pages, 15 black & white illustrations, 148 colour illustrations, 27 black & white tables, biogra. BIC Classification: UYQM; UYQV; UYT; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 19. Weight in Grams: 686. . 2014. 2014th Edition. Hardcover. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verk�ufers V9783319086507

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Bibliografische Details

Titel: Computer Vision and Machine Learning With Rgb-D Sensors
Verlag: Springer International Publishing AG
Erscheinungsjahr: 2014
Sprache: Englisch
ISBN-10: 3319086502
ISBN-13: 9783319086507
Einband: Hardcover
Zustand: New

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Inhaltsangabe

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.

�ber die Autorin bzw. den Autor

Dr. Ling Shao is a Senior Lecturer (Associate Professor) in the Department of Electronic and Electrical Engineering at the University of Sheffield, UK. His publications include the Springer title Multimedia Interaction and Intelligent User Interfaces.

Dr. Jungong Han is a Senior Scientist at Civolution Technology, Eindhoven, and a Guest Researcher at the Eindhoven University of Technology, Netherlands.

Dr. Pushmeet Kohli is a Senior Researcher in the Machine Learning and Perception Group at Microsoft Research Cambridge and an Associate in the Psychometrics Centre at the University of Cambridge, UK.

Dr. Zhengyou Zhang, IEEE Fellow and ACM Fellow, is a Principal Researcher and Research Manager of the Multimedia, Interaction, and Communication Group at Microsoft Research Redmond, WA, USA.

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