Outline_of_computer_vision

Outline of computer vision

Outline of computer vision

Overview of and topical guide to 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

See also

References

  1. [1]
    Dana H. Ballard; Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 0-13-165316-4.
  2. [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. [3]
    Milan Sonka; Vaclav Hlavac; Roger Boyle (2008). Image Processing, Analysis, and Machine Vision. Thomson. ISBN 978-0-495-08252-1.
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