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Integrating Graphics and Vision for Object Recognition (The Springer International Series in Engineering and Computer Science, 589, Band 589) - Hardcover
Buch 259 von 260: The Springer International Series in Engineering and Computer Science
Inhaltsangabe
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.
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Integrating Graphics and Vision for Object Recognition (The Springer International Series in Engineering and Computer Science, 589)
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Hardcover. Zustand: Très bon. Ancien livre de bibliothèque avec équipements. Edition 2000. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 2000. Ammareal gives back up to 15% of this item's net price to charity organizations. Artikel-Nr. H-712-030
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Integrating Graphics and Vision for Object Recognition (The Springer International Series in Engineering and Computer Science, 589)
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Integrating Graphics and Vision for Object Recognition
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Zustand: New. Serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. 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. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 184 pages, biography. BIC Classification: UYQV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 12. Weight in Grams: 1030. . 2000. Hardback. . . . . Artikel-Nr. V9780792372073
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Integrating Graphics and Vision for Object Recognition
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Kluwer Academic Publishers, US, 2000
ISBN 10: 0792372077
ISBN 13: 9780792372073
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Hardback. Zustand: New. 2001 ed. 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. Artikel-Nr. LU-9780792372073
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Integrating Graphics and Vision for Object Recognition
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Integrating Graphics and Vision for Object Recognition
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Gebunden. Zustand: New. 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 differen. Artikel-Nr. 458441759
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Integrating Graphics and Vision for Object Recognition
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Zustand: New. Serves as a reference for electrical engineers and computer scientists researching computer vision or computer graphics. 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. Series: The Springer International Series in Engineering and Computer Science. Num Pages: 184 pages, biography. BIC Classification: UYQV. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 12. Weight in Grams: 1030. . 2000. Hardback. . . . . Books ship from the US and Ireland. Artikel-Nr. V9780792372073
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Buch. Zustand: Neu. Neuware - 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. Artikel-Nr. 9780792372073
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Integrating Graphics and Vision for Object Recognition
Verlag:
Kluwer Academic Publishers, US, 2000
ISBN 10: 0792372077
ISBN 13: 9780792372073
Neu
Hardcover
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Hardback. Zustand: New. 2001 ed. 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. Artikel-Nr. LU-9780792372073
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