computer vision

Computing portal

Here is a list of articles in the Computer vision category of the Computing portal that unifies foundations of mathematics and computations using computers.

The main article for this category is Computer vision.

Computer vision is an interdisciplinary field related to, e.g., artificial intelligence, machine learning, robotics, signal processing and geometry. The purpose of computer vision is to program a computer to "understand" a scene or features in an image.

Computer vision shares many topics and methods with image processing and machine vision. Listed here are subjects relating to the field of computer vision, image processing and machine vision.

Notice: this category is intended for technical articles related to computer vision, not for showcasing research laboratories, Wikipedia users, or companies that are active in the area.

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Computer vision

Categories|

* Datasets
* Digital geometry
* Commercial systems
* Feature detection
* Geometry
* Image sensor technology
* Learning
* Morphology
* Motion analysis
* Noise reduction techniques
* Recognition and categorization
* Research infrastructure
* Researchers
* Segmentation
* Software

Technologies|

* Computer stereo vision
* 3D reconstruction
* 3D reconstruction from multiple images
* Free viewpoint television
* Structure from motion
* Visual hull
* Motion capture

Applications|

* Augmented reality
* Autonomous vehicles
* Face recognition
* Image search
* Optical character recognition
* Remote sensing
* Robots

Main category

## Contents

* Top
* 0–9
* A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

## Subcategories

This category has the following 13 subcategories, out of 13 total.

### 3

* 3D imaging (4 C, 160 P)

### A

* Applications of computer vision (9 C, 77 P)

### D

* Digital geometry (42 P)

### F

* Feature detection (computer vision) (48 P)

### G

* Geometry in computer vision (33 P)

* Geometry processing (22 P)

### I

* Image noise reduction techniques (18 P)

* Image processing (14 C, 264 P)

* Image segmentation (29 P)

### M

* Machine vision (18 P)

* Mathematical morphology (20 P)

### O

* Object recognition and categorization (31 P)

### S

* Computer vision software (1 C, 53 P)

## Pages in category "Computer vision"

The following 125 pages are in this category, out of 125 total.

###

* Computer vision
* Outline of computer vision
* Spatial verification

### 3

* 3D body scanning
* 3D data acquisition and object reconstruction
* 3D Morphable Model
* 3D pose estimation
* 3D reconstruction
* 3D reconstruction from multiple images
* 3D scanning
* 3D selfie

### A

* Active appearance model
* Active contour model
* Active shape model
* Active vision
* Astronomy:Alignments of random points
* Articulated body pose estimation
* Organization:Automated Imaging Association

### B

* Background subtraction
* Binocular disparity
* Birchfield–Tomasi dissimilarity
* Boustrophedon cell decomposition
* British Machine Vision Conference

### C

* CAPTCHA
* Class activation mapping
* Engineering:Cognition Network Technology
* Color histogram
* Color normalization
* Computational photography
* Computer vision dazzle
* Condensation algorithm
* Connected-component labeling
* Contextual image classification
* Software:Contrastive Language-Image Pre-training
* Convolutional layer
* Convolutional neural network
* Cuboid (computer vision)
* Cyclodisparity

### D

* Medicine:Dental AI
* Digital image processing
* Document mosaicing
* Organization:Dynamic Graphics Project
* Dynamic texture

### E

* EfficientNet
* Egocentric vision
* Eigenface
* EigenMoments
* Eigenmoments
* Medicine:Elastix (image registration)
* Error level analysis
* Extensible Device Metadata
* Eyes of Things

### F

* Facial age estimation

### G

* Geometric hashing
* Glossary of machine vision
* Gradient vector flow
* Graph cut optimization
* Graph cuts in computer vision

### H

* Hard sigmoid
* Harris Corner Detector
* Harris corner detector

### I

* Image analysis
* Image destriping
* Image formation
* Image fusion
* Image moment
* Image registration
* INDECT
* Intrinsic dimension
* Inverse consistency
* Inverse depth parametrization

### J

* Joint compatibility branch and bound

### L

* Landmark point
* Legendre moment
* Local ternary patterns

### M

* M-Theory (learning framework)
* M-theory (learning framework)
* Machine vision
* Mean shift
* Software:MobileNet
* Multi-scale approaches

### N

* N-jet
* Neighborhood operation
* Neural radiance field
* Normal distributions transform

### O

* Object Co-segmentation
* Company:OrCam device
* Orientation (computer vision)

### P

* PatchMatch
* Phase congruency
* Phase correlation
* Photo-consistency
* Photometric stereo
* PhyCV
* Point distribution model
* Point set registration
* Point-set registration
* Pooling layer
* Pose (computer vision)
* Pyramid (image processing)

### R

* Randomized Hough transform

### S

* Saliency map
* Scale space
* Scale space implementation
* Scale-space axioms
* Scene text
* Statistical shape analysis
* Stixel
* Structured-light 3D scanner
* Superellipsoid
* Superquadrics

### T

* Software:Tango (platform)
* Teknomo–Fernandez algorithm
* Tesla Dojo

### U

* U-Net
* Company:Umoove
* Underwater computer vision

### V

* Video imprint (computer vision)
* Viola–Jones object detection framework
* Vision transformer
* Visual descriptor
* Visual servoing
* Visual Turing Test

### Y

* Software:You Only Look Once

### Z

* Zero-shot learning

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