Computer vision deals with the extraction of information about a scene by analysis of images of that scene by comparison of the configuration of parts, properties and relations with standard configurations representing the objects of interest.
Computer vision deals with the extraction of information about a scene by analysis of images of that scene. The field had its origins over 30 years ago. Traditionally, it dealt with scenes that were essentially two-dimensional: documents, microscope images, high-altitude images of the earth's surface. The classical approach to analyzing such images involves segmentation of the image into parts corresponding to meaningful parts of the scene; measurement of properties of and relations among the parts; and object recognition based on comparison of the configuration of parts, properties and relations (essentially a labeled graph) with standard configurations representing the objects of interest.