Hardcover. This work is 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 interactive rendering to predict what should be visible by the camera and then testing and refining that hypothesis. Features of the book include: 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" should 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

N� de ref. del art�culo 9780792372073

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Detalles bibliogr�ficos

T�tulo: Integrating Graphics and Vision for Object Recognition (Hardcover)
Editor: Kluwer Academic Publishers, Dordrecht
Fecha de publicaci�n: 2000
Idioma: Ingl�s
ISBN 10: 0792372077
ISBN 13: 9780792372073
Encuadernaci�n: Hardcover
Estado: new

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Sinopsis

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.

Rese�a del editor

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.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

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