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Object Recognition - Fundamentals and Case Studies (Paperback, Softcover reprint of the original 1st ed. 2002) Loot Price: R4,031
Discovery Miles 40 310
Object Recognition - Fundamentals and Case Studies (Paperback, Softcover reprint of the original 1st ed. 2002): M. Bennamoun,...

Object Recognition - Fundamentals and Case Studies (Paperback, Softcover reprint of the original 1st ed. 2002)

M. Bennamoun, G.J. Mamic

Series: Advances in Computer Vision and Pattern Recognition

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Loot Price R4,031 Discovery Miles 40 310 | Repayment Terms: R378 pm x 12*

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Automatie object recognition is a multidisciplinary research area using con cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from navigation (through the recognition of landmarks or signs), right through to communication (through the recognition of characters or people themselves). Hence, the motivations behind the construction of recognition systems, which have the ability to function in the real world, is unquestionable and would serve industrial (e.g. quality control), military (e.g. automatie target recognition) and community needs (e.g. aiding the visually impaired). Scope, Content and Organisation of this Book This book provides a comprehensive, yet readable foundation to the field of object recognition from which research may be initiated or guided. It repre sents the culmination of research topics that I have either covered personally or in conjunction with my PhD students. These areas include image acqui sition, 3-D object reconstruction, object modelling, and the matching of ob jects, all of which are essential in the construction of an object recognition system.

General

Imprint: Springer London
Country of origin: United Kingdom
Series: Advances in Computer Vision and Pattern Recognition
Release date: November 2012
First published: 2002
Authors: M. Bennamoun • G.J. Mamic
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Paperback
Pages: 350
Edition: Softcover reprint of the original 1st ed. 2002
ISBN-13: 978-1-4471-3724-5
Categories: Books > Computing & IT > Computer programming > General
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Computing & IT > Applications of computing > Image processing > General
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LSN: 1-4471-3724-8
Barcode: 9781447137245

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