Outline of computer vision

The following outline is provided as an overview of and topical guide to computer vision:

Computer vision – interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.[1][2][3] Computer vision tasks include methods for acquiring digital images (through image sensors), image processing, and image analysis, to reach an understanding of digital images. In general, it deals with the extraction of high-dimensional data from the real world in order to produce numerical or symbolic information that the computer can interpret. 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. As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images.

Branches of computer vision

History of computer vision

History of computer vision

Computer vision subsystems

Image enhancement

Transformations

Filtering, Fourier and wavelet transforms and image compression

Color vision

Feature extraction

Pose estimation

Registration

Visual recognition

Commercial computer vision systems

Applications

Computer vision companies

Computer vision publications

Computer vision organizations

Persons influential in computer vision
gollark: > are they thoyes.> 40 years for us to figure out mass recycling idkI mean, maybe, but you still have to go out to the deserts and replace all of them, and they'll slowly degrade in effectiveness before that.
gollark: I think because the main advantage was that it wouldn't produce neutrons in some sort of fusion reaction, and neutrons cause problems, except it still would because of the fuels each fusing with themselves.
gollark: I think I read somewhere that it wasn't very useful (he3) but i forgot why.
gollark: I too want vast swathes of land to be covered in generators which will not even work half the time because of "night" and "poor weather", which are hilariously energy-expensive to produce in the first place, and which will break after 40 years.
gollark: I mean, in a sense, maybe it is.

See also

References
  1. Dana H. Ballard; Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 0-13-165316-4.
  2. Huang, T. (1996-11-19). Vandoni, Carlo, E (ed.). Computer Vision : Evolution And Promise (PDF). 19th CERN School of Computing. Geneva: CERN. pp. 21–25. doi:10.5170/CERN-1996-008.21. ISBN 978-9290830955.
  3. Milan Sonka; Vaclav Hlavac; Roger Boyle (2008). Image Processing, Analysis, and Machine Vision. Thomson. ISBN 0-495-08252-X.
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