img Leseprobe Leseprobe

Advances in Embedded Computer Vision

Margrit Gelautz (Hrsg.), Branislav Kisačanin (Hrsg.)

PDF
ca. 96,29
Amazon iTunes Thalia.de Weltbild.de Hugendubel Bücher.de ebook.de kobo Osiander Google Books Barnes&Noble bol.com Legimi yourbook.shop Kulturkaufhaus ebooks-center.de
* Affiliatelinks/Werbelinks
Hinweis: Affiliatelinks/Werbelinks
Links auf reinlesen.de sind sogenannte Affiliate-Links. Wenn du auf so einen Affiliate-Link klickst und über diesen Link einkaufst, bekommt reinlesen.de von dem betreffenden Online-Shop oder Anbieter eine Provision. Für dich verändert sich der Preis nicht.

Springer International Publishing img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Anwendungs-Software

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.

Weitere Titel in dieser Kategorie
Cover The Official Raspberry Pi Handbook 2025
The Makers of The MagPi magazine
Cover The Official Raspberry Pi Handbook 2024
The Makers of The MagPi magazine
Cover Coderspeak
Guilherme Orlandini Heurich
Cover Learn C++ by Example
Frances Buontempo

Kundenbewertungen

Schlagwörter

Embedded Computer Vision, Detection of Humans, System Analysis, Pattern Recognition, Computer Vision, Embedded Systems, Embedded Low Level Vision