株式会社極東書店トップ ＞ 商品一覧 ＞ Integrating Graphics and Vision for Object Recognition. Softcover reprint of hardcover 1st ed. 2001
商品詳細
Integrating Graphics and Vision for Object Recognition. Softcover reprint of hardcover 1st ed. 2001
・ISBN 978-1-4419-4860-1 paper EUR 149.99
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| 著者・編者 | Stevens, Mark R. / Beveridge, J. Ross, |
|---|---|
| シリーズ | (The Springer International Series in Engineering and Computer Science) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2010 |
| ページ数 | 184 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A04-76690＞ |
解説
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:
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.