Advances in Embedded Computer Vision

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106,99 

Advances in Computer Vision and Pattern Recognition

ISBN: 331909386X
ISBN 13: 9783319093864
Herausgeber: Branislav Kisacanin/Margrit Gelautz
Verlag: Springer Verlag GmbH
Umfang: xvi, 287 S., 31 s/w Illustr., 116 farbige Illustr., 287 p. 147 illus., 116 illus. in color.
Erscheinungsdatum: 09.12.2014
Auflage: 1/2015
Format: 1.7 x 24.2 x 16.2
Gewicht: 571 g
Produktform: Gebunden/Hardback
Einband: Gebunden

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 stateoftheart research on embedded 3D vision, UAVs, automotive vision, mobile vision apps, and augmented reality Examines the potential of embedded computer vision in such cuttingedge 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 Kisacanin 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.

Artikelnummer: 6924684 Kategorie:

Beschreibung

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.

Autorenporträt

InhaltsangabePart I: Success StoriesThe Optical Mouse: Early Biomimetic Embedded Vision Richard F. LyonEmbedded Computer Vision for Martian Rovers Larry MatthiesConsumer Robotics: A Platform for Embedding Computer Vision in Everyday Life Mario E. Munich, Phil Fong, Jason Meltzer, and Ethan EadeEmbedded Vision in Advanced Driver Assistance Systems Zoran NikolicPart II: State of the ArtComputer Vision for Micro Air Vehicles Martin Humenberger, Stephan Weiss, and Roland BrockersStereo Vision Algorithms Suited to Constrained FPGA Cameras Stefano MattocciaPlane Sweeping in Eye-gaze Corrected, Tele-immersive 3D Video Conferencing Maarten Dumont, Patrik Goorts, and Gauthier LafruitVehicle Detection Onboard Small Unmanned Aircraft Mathias Kölsch and Robert ZaborowskiChallenges in Embedded Vision for Augmented Reality Rajesh Narasimha, Norbert Stöffler, Darko Stanimirovic, Peter Meier, and Markus TremmelVision-based Lane Analysis: Exploration of Issues and Approaches for Embedded Realization Ravi Kumar Satzoda and Mohan M. TrivediTic-Tac-Tandroid: An Example of Computer Vision on a Smart Phone Milena Djordjevic-Kisacanin, Vinjai Vale, and Branislav KisacaninPart III: Future ChallengesDistributed Smart Cameras in the Age of Cloud Computing and the Internet-of-Things Marilyn WolfData-driven Stream Mining Systems for Computer Vision Shuvra S. Bhattacharyya,Mihaela van der Schaar, Onur Atan, Cem Tekin, and Kishan SudusingheDesigning Vision Systems that See Better Sek Chai, Sehoon Lim, and David Zhang

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