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Computer vision - Wikipedia, the free encyclopedia |
 | | Since a camera can be seen as a light sensor, there are various methods in computer vision based on correspondences between a physical phenomenon related to light and images of that phenomenon. |
 | | Examples of noise processes which are considered are sensor noise (e.g., ultrasonic images) and motion blur (e.g., because of a moving camera or moving objects in the scene). |
 | | The aim of feature extraction is to further reduce the data to a set of features, which ought to be invariant to disturbances such as lighting conditions, camera position, noise and distortion. |
| en.wikipedia.org /wiki/Computer_vision (2670 words) |
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