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

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Integrating Graphics and Vision for Object Recognition (Hardcover, 2001 ed.) Loot Price: R4,462
Discovery Miles 44 620
Integrating Graphics and Vision for Object Recognition (Hardcover, 2001 ed.): Mark R. Stevens, J. Ross Beveridge

Integrating Graphics and Vision for Object Recognition (Hardcover, 2001 ed.)

Mark R. Stevens, J. Ross Beveridge

Series: The Springer International Series in Engineering and Computer Science, 589

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Loot Price R4,462 Discovery Miles 44 620 | Repayment Terms: R418 pm x 12*

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Integrating Graphics and Vision for Object Recognition serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. Computer graphics and computer vision can be viewed as different sides of the same coin. In graphics, algorithms are given knowledge about the world in the form of models, cameras, lighting, etc., and infer (or render) an image of a scene. In vision, the process is the exact opposite: algorithms are presented with an image, and infer (or interpret) the configuration of the world. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis. Features of the book include: Many illustrations to supplement the text; A novel approach to the integration of graphics and vision; Genetic algorithms for vision; Innovations in closed loop object recognition. Integrating Graphics and Vision for Object Recognition will be of interest to research scientists and practitioners working in fields related to the topic. It may also be used as an advanced-level graduate text.

General

Imprint: Springer
Country of origin: Netherlands
Series: The Springer International Series in Engineering and Computer Science, 589
Release date: 2001
First published: 2001
Authors: Mark R. Stevens • J. Ross Beveridge
Dimensions: 235 x 155 x 12mm (L x W x T)
Format: Hardcover
Pages: 184
Edition: 2001 ed.
ISBN-13: 978-0-7923-7207-3
Categories: Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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LSN: 0-7923-7207-7
Barcode: 9780792372073

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