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Springer Integrating Graphics and Vision for Object Recognition

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Description

Integrating Graphics and Vision for Object Recognition provides a specialized reference for electrical engineers and computer scientists. This text explores the relationship between computer graphics and computer vision, treating them as two sides of the same coin to help readers understand how these fields connect. In the field of computer graphics, algorithms use models, cameras, and lighting information to render images of a scene. Conversely, computer vision processes existing images to interpret the configuration of the world. This work focuses on the integration of these two processes to improve object recognition capabilities. It is a valuable resource for professionals and researchers working within the Springer International Series in Engineering and Computer Science.

Key Features

Serves as a technical reference for electrical engineers and computer scientists researching vision or graphics.

Explores the connection between graphics rendering and vision interpretation for better object recognition.

Provides insight into how graphics algorithms use models and lighting to infer scene images.

Addresses how vision algorithms interpret images to understand world configurations.

Part of the Springer International Series in Engineering and Computer Science, volume 589.

Product Specifications

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

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