Editors:
- Offers a fresh look at the very latest advances in the field of embedded computer vision
- Reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality
- Examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing
- 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 (13 chapters)
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Front Matter
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State of the Art
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Front Matter
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Back Matter
About this book
This illuminating collection offers a fresh look at the very latest advances in the field of embedded computer vision. Emerging areas covered by this comprehensive text/reference include the embedded realization of 3D vision technologies for a variety of applications, such as stereo cameras on mobile devices. Recent trends towards the development of small unmanned aerial vehicles (UAVs) with embedded image and video processing algorithms are also examined. Topics and features: discusses in detail three major success stories – the development of the optical mouse, vision for consumer robotics, and vision for automotive safety; reviews state-of-the-art research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality; examines the potential of embedded computer vision in such cutting-edge areas as the Internet of Things, the mining of large data streams, and in computational sensing; describes historical successes, current implementations, and future challenges.
Editors and Affiliations
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Interphase Corporation, Plano, USA
Branislav Kisačanin
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Vienna University of Technology, Vienna, Austria
Margrit Gelautz
Bibliographic Information
Book Title: Advances in Embedded Computer Vision
Editors: Branislav Kisačanin, Margrit Gelautz
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-319-09387-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-09386-4Published: 09 December 2014
Softcover ISBN: 978-3-319-35788-1Published: 23 August 2016
eBook ISBN: 978-3-319-09387-1Published: 26 November 2014
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVI, 287
Number of Illustrations: 31 b/w illustrations, 116 illustrations in colour