Computer Vision is an attempt to reproduce with a machine (computer) the cognitive processes by processing the visual information contained in images and videos.

Several aspects of the visual system are relevant to Computer Vision:

• Illumination: the physical process that generates the light that illuninates the observed scene;
• Acquisition: how the light rays are collected, interacts with the imaging device sensors, and are transformed into electrical signals;
• Processing: how digital images are generated from the electrical signals, and their (usually low-level) transformation;
• Recognition: the extraction of a high-level description from images, through features and constructs that enable an high-level reasoning on the information;
• Storing: how the image/video information is stored and retrieved, either digitally or analogically.

The aim of a visual system is a symbolic description of the observed scene that can be used by other systems to interoperate with the environment.

In a visual system, these componnets are not usually arranged in a linear flow of execution, but they are often interrelated with lines of feedback.

Marco Corvi - Page hosted by geocities.com.