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Advances in Embedded Computer Vision

  • Book
  • © 2014

Overview

Editors:
  1. Branislav Kisačanin

    1. Interphase Corporation, Plano, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Margrit Gelautz

    1. Vienna University of Technology, Vienna, Austria

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    You can also search for this editor in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-xvi
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  2. Success Stories

    1. Front Matter

      Pages 1-1
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    2. The Optical Mouse: Early Biomimetic Embedded Vision

      • Richard F. Lyon
      Pages 3-22

    3. Consumer Robotics: A Platform for Embedding Computer Vision in Everyday Life

      • Mario E. Munich, Phil Fong, Jason Meltzer, Ethan Eade
      Pages 23-43

    4. Embedded Vision in Advanced Driver Assistance Systems

      • Zoran Nikolić
      Pages 45-69

  3. State of the Art

    1. Front Matter

      Pages 71-71
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    2. Computer Vision for Micro Air Vehicles

      • Roland Brockers, Martin Humenberger, Yoshi Kuwata, Larry Matthies, Stephan Weiss
      Pages 73-107

    3. Stereo Vision Algorithms Suited to Constrained FPGA Cameras

      • Stefano Mattoccia
      Pages 109-134

    4. Plane Sweeping in Eye-Gaze Corrected, Teleimmersive 3D Videoconferencing

      • Maarten Dumont, Patrik Goorts, Gauthier Lafruit
      Pages 135-161

    5. Challenges in Embedded Vision for Augmented Reality

      • Rajesh Narasimha, Norbert Stöffler, Darko Stanimirović, Peter Meier, Markus Tremmel
      Pages 163-184

    6. Tic-Tac-Tandroid: A Tic-Tac-Toe Mobile Vision App that Can “See” and “Think”

      • Milena Djordjević-Kisačanin, Vinjai Vale, Branislav Kisačanin
      Pages 185-198

    7. Vehicle Detection Onboard Small Unmanned Aircraft

      • Mathias Kölsch, Robert Zaborowski
      Pages 199-215

    8. Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization

      • Ravi Kumar Satzoda, Mohan M. Trivedi
      Pages 217-235

  4. Future Challenges

    1. Front Matter

      Pages 237-237
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    2. Distributed Smart Cameras in the Age of Cloud Computing and the Internet-of-Things

      • Marilyn Wolf
      Pages 239-248

    3. Data-Driven Stream Mining Systems for Computer Vision

      • Shuvra S. Bhattacharyya, Mihaela van der Schaar, Onur Atan, Cem Tekin, Kishan Sudusinghe
      Pages 249-264

    4. Designing Vision Systems that See Better

      • Sek Chai, Sehoon Lim, David Zhang
      Pages 265-284

  5. Back Matter

    Pages 285-287
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Keywords

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

  • Interphase Corporation, Plano, USA

    Branislav Kisačanin

  • 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

  • Topics: Image Processing and Computer Vision

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