© 2014

Advances in Embedded Computer Vision

  • Branislav Kisačanin
  • Margrit Gelautz

Part of the Advances in Computer Vision and Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Success Stories

    1. Front Matter
      Pages 1-1
    2. Mario E. Munich, Phil Fong, Jason Meltzer, Ethan Eade
      Pages 23-43
  3. State of the Art

    1. Front Matter
      Pages 71-71
    2. Roland Brockers, Martin Humenberger, Yoshi Kuwata, Larry Matthies, Stephan Weiss
      Pages 73-107
    3. Maarten Dumont, Patrik Goorts, Gauthier Lafruit
      Pages 135-161
    4. Rajesh Narasimha, Norbert Stöffler, Darko Stanimirović, Peter Meier, Markus Tremmel
      Pages 163-184
    5. Milena Djordjević-Kisačanin, Vinjai Vale, Branislav Kisačanin
      Pages 185-198
    6. Mathias Kölsch, Robert Zaborowski
      Pages 199-215
  4. Future Challenges

    1. Front Matter
      Pages 237-237
    2. Shuvra S. Bhattacharyya, Mihaela van der Schaar, Onur Atan, Cem Tekin, Kishan Sudusinghe
      Pages 249-264
    3. Sek Chai, Sehoon Lim, David Zhang
      Pages 265-284
  5. Back Matter
    Pages 285-287

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. The authoritative insights range from historical perspectives to future developments, reviewing embedded implementation, tools, technologies, systems, algorithms, and markets.

Topics and features:

  • Presents a series of self-contained articles from an international selection of leading experts in the field
  • 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

This timely volume is essential reading for researchers from academia and industry, practitioners, and innovation managers interested in embedded computer vision. Students of computer vision will also find this to be an inspiring source of information on the field.

Dr. Branislav Kisačanin is the CTO of Embedded Computer Vision at Interphase Corp., Plano, TX, USA. Dr. Margrit Gelautz is an associate professor at Vienna University of Technology, Austria, where she directs the research group on Image and Video Analysis & Synthesis.


Computer Vision Detection of Humans Embedded Computer Vision Embedded Low Level Vision Embedded Systems Pattern Recognition System Analysis

Editors and affiliations

  • Branislav Kisačanin
    • 1
  • Margrit Gelautz
    • 2
  1. 1.Interphase CorporationPlanoUSA
  2. 2.Vienna University of TechnologyViennaAustria

Bibliographic information

  • Book Title Advances in Embedded Computer Vision
  • Editors Branislav Kisačanin
    Margrit Gelautz
  • Series Title Advances in Computer Vision and Pattern Recognition
  • Series Abbreviated Title Advs Comp. Vision, Pattern Recognition
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-319-09386-4
  • Softcover ISBN 978-3-319-35788-1
  • eBook ISBN 978-3-319-09387-1
  • 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
  • Topics Image Processing and Computer Vision
  • Buy this book on publisher's site
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