Integrating Graphics and Vision for Object Recognition
Stevens, Mark R.; Beveridge, J. Ross (Department Of Computer Science, Colorado State University, Usa)
€ 191.04
FREE Delivery in Ireland
Description for Integrating Graphics and Vision for Object Recognition
Hardback. 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.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2000
Publisher
Kluwer Academic Publishers United States
Number of pages
184
Condition
New
Series
The Springer International Series in Engineering and Computer Science
Number of Pages
184
Place of Publication
Dordrecht, Netherlands
ISBN
9780792372073
SKU
V9780792372073
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Integrating Graphics and Vision for Object Recognition