!!! Overview
[{$pagename}] is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos. 

[{$pagename}] from the perspective of engineering, it seeks to automate tasks that the human visual system can do.

[{$pagename}] tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional [data] from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. Understanding in this [context] means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action. 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.

[{$pagename}] as a scientific discipline is concerned with the theory behind artificial systems that extract information from images. The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner. As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems.

[{$pagename}] and [Artificial Intelligence] share other topics such as [pattern-recognition] and [learning] techniques. Consequently, [{$pagename}] is sometimes seen as a part of the [Artificial Intelligence] field or the computer science field in general.

[{$pagename}] may use [feature detection] methods for computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type at that point or not. The resulting features will be subsets of the image domain, often in the form of isolated points, continuous curves or connected regions.

[{$pagename}] is often referred to within [Optical Character Recognition] however, some feel it is different.

!! Category
%%category [Artificial Intelligence]%%

!! More Information
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* [#1] - [Computer_vision|Wikipedia:Computer_vision|target='_blank'] - based on information obtained 2017-11-25-