Computer vision is a field that includes methods for acquiring, processing, analysing, and understanding images and, in general, high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.[1][2][3] A theme in the development of this field has been to duplicate the abilities of human vision by electronically perceiving and understanding an image.[4] This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.[5]

Applications range from tasks such as industrial machine vision systems which, say, inspect bottles speeding by on a production …ver más…

Automatic inspection, e.g. in manufacturing applications

Sub-domains of computer vision include scene reconstruction, event detection, video tracking, object recognition, learning, indexing, motion estimation, and image restoration.

In most practical computer vision applications, the computers are pre-programmed to solve a particular task, but methods based on learning are now becoming increasingly