Integrating Graphics and Vision for Object Recognition: 589 (The Springer International Series in Engineering and Computer Science) - Tapa dura

Libro 259 de 260: The Springer International Series in Engineering and Computer Science

Beveridge, J. Ross; Stevens, Mark R.

 
9780792372073: Integrating Graphics and Vision for Object Recognition: 589 (The Springer International Series in Engineering and Computer Science)
Tapa dura
ISBN 10: 0792372077 ISBN 13: 9780792372073
Editorial: Springer, 2000

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2000
Idioma
Inglés
ISBN 10 
0792372077
ISBN 13 
9780792372073
Encuadernación
Tapa dura
Número de páginas
204
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9781441948601: Integrating Graphics and Vision for Object Recognition: 589 (The Springer International Series in Engineering and Computer Science)

Edición Destacada

ISBN 10:  1441948600 ISBN 13:  9781441948601
Editorial: Springer, 2010
Tapa blanda