Overview
- Describes a topic of computer vision that will be key in coming years
- With a broad appeal, bridging academic and corporate research
- Provides publicly-available code for many of the applications described
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (10 chapters)
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3D Registration and Reconstruction
Reviews
From the reviews:
“Consumer Depth Cameras for Computer Vision is among the first few written from a research point of view. It is based on research published in the Workshop on Consumer Depth Cameras and includes some of the notable researchers in the field and the original team behind Kinect itself. It’s an excellent resource for researchers working in computer vision and robotic vision or for students having knowledge of vision who wish to start working with Kinect. … highly recommend this book to any researcher of Kinect.” (Owais Mehmood, IAPR Newsletter, Vol. 35 (3–2), July, 2013)Editors and Affiliations
About the editors
Dr. Andrea Fossati and Dr. Helmut Grabner are post-doctoral researchers in the Computer Vision Laboratory at ETH Zurich, Switzerland.
Dr. Juergen Gall is a Senior Researcher at the Max Planck Institute for Intelligent Systems, Tübingen, Germany.
Dr. Xiaofeng Ren is a Research Scientist at the Intel Science and Technology Center for Pervasive Computing, Intel Labs, and an Affiliate Assistant Professor at the Department of Computer Science and Engineering of the University of Washington, Seattle, WA, USA.
Dr. Kurt Konolige is a Senior Researcher at Industrial Perception Inc., Palo Alto, CA, USA.
Bibliographic Information
Book Title: Consumer Depth Cameras for Computer Vision
Book Subtitle: Research Topics and Applications
Editors: Andrea Fossati, Juergen Gall, Helmut Grabner, Xiaofeng Ren, Kurt Konolige
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-4640-7
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2013
Hardcover ISBN: 978-1-4471-4639-1Published: 04 October 2012
Softcover ISBN: 978-1-4471-6977-2Published: 23 August 2016
eBook ISBN: 978-1-4471-4640-7Published: 03 October 2012
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVI, 210
Topics: Image Processing and Computer Vision, Pattern Recognition, Computer Graphics