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Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision

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Object Categorization - Computer and Human Vision Perspectives (Hardcover) Loot Price: R4,735
Discovery Miles 47 350
Object Categorization - Computer and Human Vision Perspectives (Hardcover): Sven J. Dickinson, Ales Leonardis, Bernt Schiele,...

Object Categorization - Computer and Human Vision Perspectives (Hardcover)

Sven J. Dickinson, Ales Leonardis, Bernt Schiele, Michael J. Tarr

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Loot Price R4,735 Discovery Miles 47 350 | Repayment Terms: R444 pm x 12*

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This edited volume presents a unique multidisciplinary perspective on the problem of visual object categorization. The result of a series of four highly successful workshops on the topic, the book gathers many of the most distinguished researchers from both computer and human vision to reflect on their experience, identify open problems, and foster a cross-disciplinary discussion with the idea that parallel problems and solutions have arisen in both domains. Twenty-seven of these workshop speakers have contributed chapters, including fourteen from computer vision and thirteen from human vision. Their contributions range from broad perspectives on the problem to more specific approaches, collectively providing important historical context, identifying the major challenges, and presenting recent research results. This multidisciplinary collection is the first of its kind on the topic of object categorization, providing an outstanding context for graduate students and researchers in both computer and human vision.

General

Imprint: Cambridge UniversityPress
Country of origin: United Kingdom
Release date: September 2009
First published: October 2009
Editors: Sven J. Dickinson • Ales Leonardis • Bernt Schiele • Michael J. Tarr
Dimensions: 103 x 72 x 37mm (L x W x H)
Format: Hardcover
Pages: 552
ISBN-13: 978-0-521-88738-0
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 0-521-88738-0
Barcode: 9780521887380

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