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Advances in Embedded Computer Vision (Hardcover, 2014 ed.) Loot Price: R3,661
Discovery Miles 36 610
You Save: R282 (7%)
Advances in Embedded Computer Vision (Hardcover, 2014 ed.): Branislav Kisacanin, Margrit Gelautz

Advances in Embedded Computer Vision (Hardcover, 2014 ed.)

Branislav Kisacanin, Margrit Gelautz

Series: Advances in Computer Vision and Pattern Recognition

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List price R3,943 Loot Price R3,661 Discovery Miles 36 610 | Repayment Terms: R343 pm x 12* You Save R282 (7%)

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Advances in Computer Vision and Pattern Recognition
Release date: November 2014
First published: 2014
Editors: Branislav Kisacanin • Margrit Gelautz
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Hardcover
Pages: 287
Edition: 2014 ed.
ISBN-13: 978-3-319-09386-4
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 3-319-09386-X
Barcode: 9783319093864

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