Outline of computer vision

Short description: 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

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

Affine transform
Homography (computer vision)
Hough transform
Radon transform
Walsh–Hadamard transform

Filtering, Fourier and wavelet transforms and image compression

Color vision

Visual perception
Human visual system model
Color matching function
Color space
Color appearance model
Color management system
Color mapping
Color model
Color profile

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

Object recognition
Scale-invariant feature transform (SIFT)
Gesture recognition
Bag-of-words model in computer vision
Kadir–Brady saliency detector
Eigenface

Commercial computer vision systems

5DX
Aphelion
Microsoft PixelSense
Poseidon drowning detection system
Visage SDK

Applications

3D reconstruction from multiple images
Audio-visual speech recognition
Augmented reality
Augmented reality-assisted surgery
Automated optical inspection
Automatic image annotation
Automatic number plate recognition
Automatic target recognition
Check weigher
Closed-circuit television
Computer stereo vision
Contextual image classification
DARPA LAGR Program
Digital video fingerprinting
Document mosaicing
Facial recognition systems
GazoPa
Geometric feature learning
Gesture recognition
Image collection exploration
Image retrieval
- Content-based image retrieval
- Reverse image search
Image-based modeling and rendering
Integrated mail processing
Iris recognition
Machine vision
Mobile mapping
Navigation system components for:
- Autonomous cars
- Mobile robots
Object detection
Optical braille recognition
Optical character recognition
- Intelligent character recognition
Pedestrian detection
People counter
Physical computing
Red light camera
Remote sensing
Smart camera
Traffic enforcement camera
Traffic sign recognition
Vehicle infrastructure integration
Velocity Moments
Video content analysis
View synthesis
Visual sensor network
Visual Word
Water remote sensing

Computer vision companies

3DFLOW
Automatix
Clarifai
Cognex Corporation
Datagen
Diffbot
IBM
InspecVision
Isra Vision
Kinesense
Mobileye
Scantron Corporation
Teledyne DALSA
VIEW Engineering
Zivid
Warden Machinery

Computer vision publications

Electronic Letters on Computer Vision and Image Analysis
International Journal of Computer Vision

Computer vision organizations

Conference on Computer Vision and Pattern Recognition
European Conference on Computer Vision
International Conference on Computer Vision
International Conferences in Central Europe on Computer Graphics, Visualization and Computer Vision

Persons influential in computer vision

References

↑ Dana H. Ballard; Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 0-13-165316-4. https://archive.org/details/computervision0000ball.
↑ Huang, T. (1996-11-19). "Computer Vision : Evolution And Promise". in Vandoni, Carlo, E. 19th CERN School of Computing. Geneva: CERN. pp. 21–25. doi:10.5170/CERN-1996-008.21. ISBN 978-9290830955. https://cds.cern.ch/record/400313/files/p21.pdf.
↑ 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

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Original source: https://en.wikipedia.org/wiki/Outline of computer vision. Read more

[Ballard-Brown-1982-1] Dana H. Ballard; Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 0-13-165316-4. https://archive.org/details/computervision0000ball.

[Huang-1996-2] Huang, T. (1996-11-19). "Computer Vision : Evolution And Promise". in Vandoni, Carlo, E. 19th CERN School of Computing. Geneva: CERN. pp. 21–25. doi:10.5170/CERN-1996-008.21. ISBN 978-9290830955. https://cds.cern.ch/record/400313/files/p21.pdf.

[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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