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.
Produktsicherheitsverordnung
Hersteller:
Springer Verlag GmbH
juergen.hartmann@springer.com
Tiergartenstr. 17
DE 69121 Heidelberg
Autorenportrait
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