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.
Author(s): Branislav Kisačanin, Margrit Gelautz (eds.)
Series: Advances in Computer Vision and Pattern Recognition
Edition: 1
Publisher: Springer International Publishing
Year: 2014
Language: English
Pages: 287
Tags: Image Processing and Computer Vision
Front Matter....Pages i-xvi
Front Matter....Pages 1-1
The Optical Mouse: Early Biomimetic Embedded Vision....Pages 3-22
Consumer Robotics: A Platform for Embedding Computer Vision in Everyday Life....Pages 23-43
Embedded Vision in Advanced Driver Assistance Systems....Pages 45-69
Front Matter....Pages 71-71
Computer Vision for Micro Air Vehicles....Pages 73-107
Stereo Vision Algorithms Suited to Constrained FPGA Cameras....Pages 109-134
Plane Sweeping in Eye-Gaze Corrected, Teleimmersive 3D Videoconferencing....Pages 135-161
Challenges in Embedded Vision for Augmented Reality....Pages 163-184
Tic-Tac-Tandroid: A Tic-Tac-Toe Mobile Vision App that Can “See” and “Think”....Pages 185-198
Vehicle Detection Onboard Small Unmanned Aircraft....Pages 199-215
Vision-Based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization....Pages 217-235
Front Matter....Pages 237-237
Distributed Smart Cameras in the Age of Cloud Computing and the Internet-of-Things....Pages 239-248
Data-Driven Stream Mining Systems for Computer Vision....Pages 249-264
Designing Vision Systems that See Better....Pages 265-284
Back Matter....Pages 285-287
