Advances in Embedded Computer Vision

ISBN-13: 9783319357881 / Angielski / Miękka / 2016 / 287 str.

Branislav Kisa Anin; Margrit Gelautz

Opis

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.

Spis treści

Part I: Success Stories

The Optical Mouse: Early Biomimetic Embedded Vision
Richard F. Lyon

Consumer Robotics: A Platform for Embedding Computer Vision in Everyday Life
Mario E. Munich, Phil Fong, Jason Meltzer, and Ethan Eade

Embedded Vision in Advanced Driver Assistance Systems
Zoran Nikolić

Part II: State of the Art

Computer Vision for Micro Air Vehicles
Roland Brockers, Martin Humenberger, Yoshi Kuwata, Larry Matthies, and Stephan Weiss

Stereo Vision Algorithms Suited to Constrained FPGA Cameras
Stefano Mattoccia

Plane Sweeping in Eye-gaze Corrected, Tele-immersive 3D Video Conferencing
Maarten Dumont, Patrik Goorts, and Gauthier Lafruit

Challenges in Embedded Vision for Augmented Reality
Rajesh Narasimha, Norbert Stöffler, Darko Stanimirović, Peter Meier, and Markus Tremmel

Tic-Tac-Tandroid: A Tic-Tac-Toe Mobile Vision App that can "See" and "Think"
Milena Djordjević-Kisačanin, Vinjai Vale, and Branislav Kisačanin

Vehicle Detection Onboard Small Unmanned Aircraft
Mathias Kölsch and Robert Zaborowski

Vision-based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization
Ravi Kumar Satzoda and Mohan M. Trivedi

Part III: Future Challenges

Distributed Smart Cameras in the Age of Cloud Computing and the Internet-of-Things
Marilyn Wolf

Data-driven Stream Mining Systems for Computer Vision
Shuvra S. Bhattacharyya, Mihaela van der Schaar, Onur Atan, Cem Tekin, and Kishan Sudusinghe

Designing Vision Systems that See Better
Sek Chai, Sehoon Lim, and David Zhang

Blurb

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.