Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
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Integrating Graphics and Vision for Object Recognition (Hardcover, 2001 ed.)
Loot Price: R4,692
Discovery Miles 46 920
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Integrating Graphics and Vision for Object Recognition (Hardcover, 2001 ed.)
Series: The Springer International Series in Engineering and Computer Science, 589
Expected to ship within 10 - 15 working days
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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.
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