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

Computer vision subsystems

Image enhancement

Image denoising
Image histogram
Inpainting
Super-resolution imaging
Histogram equalization
Tone mapping
Retinex
Gamma correction
Anisotropic diffusion (Perona–Malik equation)

Transformations

Filtering, Fourier and wavelet transforms and image compression

Color vision

Feature extraction

Active contour
Blob detection
Canny edge detector
Contour detection
Edge detection
Edge linking
Harris Corner Detector
Histogram of oriented gradients (HOG)
Random sample consensus (RANSAC)
Scale-invariant feature transform (SIFT)

Pose estimation

Registration

Visual recognition

Commercial computer vision systems

Applications

Computer vision companies

Computer vision publications

Computer vision organizations

Persons influential in computer vision

References

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

External links

USC Iris computer vision conference list
Computer vision papers on the web A complete list of papers of the most relevant computer vision conferences.
Computer Vision Online News, source code, datasets and job offers related to computer vision.
Keith Price's Annotated Computer Vision Bibliography
CVonline Bob Fisher's Compendium of Computer Vision.
British Machine Vision Association Supporting computer vision research within the UK via the BMVC and MIUA conferences, Annals of the BMVA (open-source journal), BMVA Summer School and one-day meetings

[Ballard-Brown-1982-1] Dana H. Ballard; Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 0-13-165316-4.

[Huang-1996-2] 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.

[Sonka-Hlavac-Boyle-2008-3] Milan Sonka; Vaclav Hlavac; Roger Boyle (2008). Image Processing, Analysis, and Machine Vision. Thomson. ISBN 978-0-495-08252-1.

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