,

Advances in Embedded Computer Vision

Gebonden Engels 2014 2014e druk 9783319093864
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9783319093864
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:287
Uitgever:Springer International Publishing
Druk:2014

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Inhoudsopgave

<p>Part I: Success Stories</p><p>The Optical Mouse: Early Biomimetic Embedded Vision<br>Richard F. Lyon</p><p>Consumer Robotics: A Platform for Embedding Computer Vision in Everyday Life<br>Mario E. Munich, Phil Fong, Jason Meltzer, and Ethan Eade</p><p>Embedded Vision in Advanced Driver Assistance Systems<br>Zoran Nikolić</p><p>Part II: State of the Art</p><p>Computer Vision for Micro Air Vehicles<br>Roland Brockers, Martin Humenberger, Yoshi Kuwata, Larry Matthies, and Stephan Weiss</p><p>Stereo Vision Algorithms Suited to Constrained FPGA Cameras<br>Stefano Mattoccia</p><p>Plane Sweeping in Eye-gaze Corrected, Tele-immersive 3D Video Conferencing<br>Maarten Dumont, Patrik Goorts, and Gauthier Lafruit</p><p>Challenges in Embedded Vision for Augmented Reality<br>Rajesh Narasimha, Norbert Stöffler, Darko Stanimirović, Peter Meier, and Markus Tremmel</p><p>Tic-Tac-Tandroid: A Tic-Tac-Toe Mobile Vision App that can "See" and "Think"<br>Milena Djordjević-Kisačanin, Vinjai Vale, and Branislav Kisačanin</p><p>Vehicle Detection Onboard Small Unmanned Aircraft<br>Mathias Kölsch and Robert Zaborowski</p><p>Vision-based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization<br>Ravi Kumar Satzoda and Mohan M. Trivedi</p><p>Part III: Future Challenges</p><p>Distributed Smart Cameras in the Age of Cloud Computing and the Internet-of-Things<br>Marilyn Wolf</p><p>Data-driven Stream Mining Systems for Computer Vision<br>Shuvra S. Bhattacharyya, Mihaela van der Schaar, Onur Atan, Cem Tekin, and Kishan Sudusinghe</p><p>Designing Vision Systems that See Better<br>Sek Chai, Sehoon Lim, and David Zhang</p>

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        Advances in Embedded Computer Vision