Advances in Embedded Computer Vision

Author:   Branislav Kisačanin ,  Margrit Gelautz
Publisher:   Springer International Publishing AG
Edition:   2014 ed.
ISBN:  

9783319093864


Pages:   287
Publication Date:   09 December 2014
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Advances in Embedded Computer Vision


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Overview

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.

Full Product Details

Author:   Branislav Kisačanin ,  Margrit Gelautz
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2014 ed.
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   6.348kg
ISBN:  

9783319093864


ISBN 10:   331909386
Pages:   287
Publication Date:   09 December 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: Success Stories.- The Optical Mouse.- Consumer Robotics.- Embedded Vision in Advanced Driver Assistance Systems.- Part II: State of the Art.- Computer Vision for Micro Air Vehicles.- Stereo Vision Algorithms Suited to Constrained FPGA Cameras.- Plane Sweeping in Eye-gaze Corrected, Tele-immersive 3D Video Conferencing.- Challenges in Embedded Vision for Augmented Reality.- Tic-Tac-Tandroid.- Vehicle Detection Onboard Small Unmanned Aircraft.- Vision-based Lane Analysis.- Part III: Future Challenges.- Distributed Smart Cameras in the Age of Cloud Computing and the Internet-of-Things.- Data-driven Stream Mining Systems for Computer Vision.- Designing Vision Systems that See Better.

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