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Advances in Computer Vision and Pattern Recognition

Computer Vision and Machine Learning with RGB-D Sensors

Editors: Shao, L., Han, J., Kohli, P., Zhang, Z. (Eds.)

  • Describes recent advances in RGB-D based computer vision algorithms, with an emphasis on advanced machine learning techniques for interpreting the RGBD information
  • Covers a range of different techniques from computer vision, machine learning, audio, speech and signal processing, communications, artificial intelligence and media technology
  • Includes contributions from leading researchers in this area, with strong industrial-research experience of the practical issues
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-08651-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-08650-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 4, 2016
  • ISBN 978-3-319-38105-3
  • Free shipping for individuals worldwide
About this book

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.

About the authors

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.

Table of contents (14 chapters)

  • 3D Depth Cameras in Vision: Benefits and Limitations of the Hardware

    Kadambi, Achuta (et al.)

    Pages 3-26

  • A State of the Art Report on Multiple RGB-D Sensor Research and on Publicly Available RGB-D Datasets

    Berger, Kai

    Pages 27-44

  • Calibration Between Depth and Color Sensors for Commodity Depth Cameras

    Zhang, Cha (et al.)

    Pages 47-64

  • Depth Map Denoising via CDT-Based Joint Bilateral Filter

    Koschan, Andreas (et al.)

    Pages 65-89

  • Human Performance Capture Using Multiple Handheld Kinects

    Liu, Yebin (et al.)

    Pages 91-108

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-319-08651-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-319-08650-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: November 4, 2016
  • ISBN 978-3-319-38105-3
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Computer Vision and Machine Learning with RGB-D Sensors
Editors
  • Ling Shao
  • Jungong Han
  • Pushmeet Kohli
  • Zhengyou Zhang
Series Title
Advances in Computer Vision and Pattern Recognition
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-08651-4
DOI
10.1007/978-3-319-08651-4
Hardcover ISBN
978-3-319-08650-7
Softcover ISBN
978-3-319-38105-3
Series ISSN
2191-6586
Edition Number
1
Number of Pages
X, 316
Number of Illustrations and Tables
15 b/w illustrations, 148 illustrations in colour
Topics