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£108 today · previous high £108 · all-time low £107

Springer Integrating Graphics and Vision for Object Recognition - Springer

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Description

Integrating Graphics and Vision for Object Recognition is a comprehensive reference work designed for electrical engineers and computer scientists working in computer vision and computer graphics research. This book explores the fundamental relationship between graphics and vision as complementary disciplines, examining how graphics algorithms use models, cameras, and lighting to render images, whilst vision algorithms perform the inverse operation by interpreting images to reconstruct world configurations. Published by Springer as part of The Springer International Series in Engineering and Computer Science (volume 589), this technical resource bridges two essential fields of computer science and provides practical insights for professionals developing object recognition systems, advancing the understanding of how visual perception and graphical rendering can be integrated to solve complex recognition problems.

Key Features

Springer International Series in Engineering and Computer Science volume 589 provides peer-reviewed technical content for advanced computer science research.

Addresses both computer graphics and computer vision as complementary approaches to understanding visual information processing.

Designed for electrical engineers and computer scientists researching object recognition and related visual computing applications.

Explores the inverse relationship between graphics rendering and vision interpretation in image analysis and scene understanding.

Serves as a reference work for professionals integrating graphical models with vision algorithms in research and development projects.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
07 December 2010
Listed Since
06 July 2010

Barcode

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