Integrating Graphics and Vision for Object Recognition
Stevens, Mark R.; Beveridge, J. Ross (Department of Computer Science, Colorado State University, USA)
ISBN 10: 1441948600 ISBN 13: 9781441948601
Editorial: Springer-Verlag New York Inc., 2010
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Descripción
Descripción:
Series: The Springer International Series in Engineering and Computer Science. Num Pages: 184 pages, biography. BIC Classification: TJFM; UGN; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 10. Weight in Grams: 314. . 2010. 1st ed. Softcover of orig. ed. 2001. Paperback. . . . . N° de ref. del artículo V9781441948601
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.
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
Detalles bibliográficos
Título: Integrating Graphics and Vision for Object ...
Editorial: Springer-Verlag New York Inc.
Año de publicación: 2010
Encuadernación: Encuadernación de tapa blanda
Condición: New
Edición: 1ª Edición
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Integrating Graphics and Vision for Object Recognition (Paperback)
Publicado por
Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10: 1441948600
ISBN 13: 9781441948601
Nuevo
Paperback
Original o primera edición
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. 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. 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 multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781441948601
Cantidad disponible: 1 disponibles
Imagen de archivo
Integrating Graphics and Vision for Object Recognition (Paperback)
Publicado por
Springer-Verlag New York Inc., New York, NY, 2010
ISBN 10: 1441948600
ISBN 13: 9781441948601
Nuevo
Paperback
Original o primera edición
Librería: AussieBookSeller, Truganina, VIC, Australia
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. 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. 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. Nº de ref. del artículo: 9781441948601
Cantidad disponible: 1 disponibles