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Computerized information extraction from images
Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data
Computer_vision
Focusing the eyes on a display device for a protracted period of time
Computer vision syndrome (CVS) is a condition resulting from focusing the eyes on a computer, smartphone or other display device for protracted, uninterrupted
Computer_vision_syndrome
Type of camouflage used to hamper facial recognition software
Computer vision dazzle, also known as CV dazzle, dazzle makeup, or anti-surveillance makeup, is a type of camouflage used to hamper facial recognition
Computer_vision_dazzle
Position and orientation of an object in an image
In the fields of computing and computer vision, pose (or spatial pose) represents the position and the orientation of an object, each usually in three
Pose_(computer_vision)
Relation of two images with software
In the field of computer vision, any two images of the same planar surface in space are related by a homography (assuming a pinhole camera model). This
Homography_(computer_vision)
Nature Conferences on computer vision (including also image analysis) and pattern recognition: CVPR - IEEE Conference on Computer Vision and Pattern Recognition
List of computer science conferences
List_of_computer_science_conferences
Piece of information about the content of an image
In computer vision and image processing, a feature is a piece of information about the content of an image; typically about whether a certain region of
Feature_(computer_vision)
Method of determining a point in 3D space
In computer vision, triangulation refers to the process of determining a point in 3D space given its projections onto two, or more, images. In order to
Triangulation (computer vision)
Triangulation_(computer_vision)
Influential 2012 deep convolutional neural network
subsequent work in deep learning, especially in applying neural networks to computer vision. AlexNet contains eight layers: the first five are convolutional layers
AlexNet
Matrix in computer version
In computer vision, the fundamental matrix F {\displaystyle \mathbf {F} } is a 3×3 matrix which relates corresponding points in stereo images. In epipolar
Fundamental matrix (computer vision)
Fundamental_matrix_(computer_vision)
Overview of and topical guide to computer vision
overview of and topical guide to computer vision: Computer vision – interdisciplinary field that deals with how computers can be made to gain high-level
Outline_of_computer_vision
Annual conference
The Conference on Computer Vision and Pattern Recognition is an annual conference on computer vision and pattern recognition. The conference was first
Conference on Computer Vision and Pattern Recognition
Conference_on_Computer_Vision_and_Pattern_Recognition
Technique for the generative modeling of a continuous probability distribution
transformers. As of 2024[update], diffusion models are mainly used for computer vision tasks, including image denoising, inpainting, super-resolution, image
Diffusion_model
Study of computation
learning found in humans and animals. Within artificial intelligence, computer vision aims to understand and process image and video data, while natural
Computer_science
Subfield of computer vision
Underwater computer vision is a subfield of computer vision. In recent years, with the development of underwater vehicles ( ROV, AUV, gliders), the need
Underwater_computer_vision
Free and open source, web-based image and video annotation tool
Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms
Computer Vision Annotation Tool
Computer_Vision_Annotation_Tool
Extraction of 3D data from digital images
Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about
Computer_stereo_vision
Computer-vision research conference
The International Conference on Computer Vision (ICCV) is a research conference sponsored by the Institute of Electrical and Electronics Engineers (IEEE)
International Conference on Computer Vision
International_Conference_on_Computer_Vision
German computer scientist (born 1971)
Cremers (born 1971) is a German computer scientist, Professor of Informatics and Mathematics and Chair of Computer Vision & Artificial Intelligence at the
Daniel_Cremers
Ukrainian computer scientist
Russakovsky is an associate professor of computer science at Princeton University. Her research investigates computer vision and machine learning. She was one
Olga_Russakovsky
Principle in artificial intelligence
approaches of the 1970s, and deep learning has continued this trend. Computer vision. Algorithms that were assumed to approximate the human visual system
Bitter_lesson
for machine learning, deep learning, natural language processing, computer vision, reinforcement learning, artificial general intelligence, and more
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Machine learning model for vision processing
A vision transformer (ViT) is a transformer designed for computer vision. A ViT decomposes an input image into a series of patches (rather than text into
Vision_transformer
Computer-vision conference held in even years
The European Conference on Computer Vision (ECCV) is a biennial research conference with the proceedings published by Springer Science+Business Media
European Conference on Computer Vision
European_Conference_on_Computer_Vision
Subset of artificial intelligence
processes light and sound into vision and hearing. Some successful applications of deep learning are computer vision and speech recognition. Decision
Machine_learning
(Downs et al., 2022) for a review of more datasets as of 2022. In computer vision, face images have been used extensively to develop facial recognition
List of datasets in computer vision and image processing
List_of_datasets_in_computer_vision_and_image_processing
Object categorization problem
example to assist with classification, originating in the field of computer vision to assist with object categorization. Whereas most machine learning
One-shot learning (computer vision)
One-shot_learning_(computer_vision)
Volume rendering technique
3D Gaussian splatting has been adapted and extended across various computer vision and graphics applications, from dynamic scene rendering to autonomous
Gaussian_splatting
Method of extracting data from websites
response, web scraping systems use techniques involving DOM parsing, computer vision and natural language processing to simulate human-like browsing to
Web_scraping
Process supporting machine learning
artificial intelligence (AI). Training AI models, particularly in computer vision and natural language processing, requires large volumes of annotated
Data_annotation
Image classification model
In computer vision, the bag-of-words (BoW) model, sometimes called bag-of-visual-words model (BoVW), can be applied to image classification or retrieval
Bag-of-words model in computer vision
Bag-of-words_model_in_computer_vision
Method of determining a location
and distance measurements is referred to as triangulateration. Computer stereo vision and optical 3D measuring systems use this principle to determine
Triangulation
Generating high-resolution video frames from given low-resolution ones
"Spatio-Temporal Transformer Network for Video Restoration". Computer Vision – ECCV 2018. Lecture Notes in Computer Science. Vol. 11207. Cham: Springer International
Video_super-resolution
software, including software frameworks, robot software, middleware, computer vision, robotics simulators, motion planning libraries, industrial robot programming
List_of_robotics_software
Technique in computer vision
problem originates from camera calibration and has many applications in computer vision and other areas, including 3D tracking, robotics and augmented reality
Perspective-n-Point
Algorithm for modelling sequential data
since. They are used in large-scale natural language processing, computer vision (vision transformers), reinforcement learning, audio, multimodal learning
Transformer_(deep_learning)
Public university in Catalonia, Spain
Medicine Veterinary Library Sabadell University Library Computer Vision Center is a computer vision research centre based at UAB. It was established in 1994
Autonomous University of Barcelona
Autonomous_University_of_Barcelona
Software development company
Roboflow is a software development company that develops computer vision products. Roboflow was founded in 2019 by Brad Dwyer and Joseph Nelson. Prior
Roboflow
Topical guide to object recognition
Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a
Outline_of_object_recognition
Technique in machine learning
Difficulty of Visual Search in an Image". 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (PDF). pp. 2157–2166. doi:10.1109/CVPR
Curriculum_learning
Technology and methods used to provide imaging-based automatic inspection and analysis
systems engineering discipline can be considered distinct from computer vision, a form of computer science. It attempts to integrate existing technologies in
Machine_vision
Academic journal
The International Journal of Computer Vision (IJCV) is a journal published by Springer. The editors-in-chief are Karteek Alahari, Yasuyuki Matsushita
International Journal of Computer Vision
International_Journal_of_Computer_Vision
Technology company
Trigo is a computer vision technology company founded by Michael and Daniel Gabay in 2018. Trigo provides a cashierless shopping solution for grocery
Trigo_(company)
Type of artificial neural network
on Computer Vision. arXiv:1502.01852. doi:10.1109/ICCV.2015.123. Linn, Allison (2015-12-10). "Microsoft researchers win ImageNet computer vision challenge"
Residual_neural_network
localisation. The deep learning revolution started around CNN- and GPU-based computer vision. Although CNNs trained by backpropagation had been around for decades
History of artificial neural networks
History_of_artificial_neural_networks
Scientist specializing in computer science
theoretical computer science, numerical analysis, programming language theory, compiler, computer graphics, computer vision, robotics, computer architecture
Computer_scientist
Optimization technique
of computer vision, graph cut optimization can be employed to efficiently solve a wide variety of low-level computer vision problems (early vision), such
Graph cuts in computer vision and artificial intelligence
Graph_cuts_in_computer_vision_and_artificial_intelligence
Branch of machine learning
fields. These architectures have been applied to fields including computer vision, speech recognition, natural language processing, machine translation
Deep_learning
Public university in Abu Dhabi, UAE
in: Computational Biology (inaugural cohort 2026) Computer Science Computer Vision Human–Computer Interaction (inaugural cohort 2026) Machine Learning
Mohamed bin Zayed University of Artificial Intelligence
Mohamed_bin_Zayed_University_of_Artificial_Intelligence
Deep learning method
(2017). "Image-to-Image Translation with Conditional Adversarial Nets". Computer Vision and Pattern Recognition. Ho, Jonathon; Ermon, Stefano (2016). "Generative
Generative adversarial network
Generative_adversarial_network
Foundation model allowing control of robot actions
In robot learning, a vision–language–action model (VLA) is a class of multimodal foundation models that integrates vision, language and actions. Given
Vision–language–action_model
Topics referred to by the same term
eyesight Computer vision, a field dealing with how computers can be made to gain understanding from digital images or videos Machine vision, technology
Vision
Computational model used in machine learning
convolutional neural networks (CNNs) significantly improved performance in computer vision tasks, while recurrent neural networks (RNNs) enabled modeling of sequential
Neural network (machine learning)
Neural_network_(machine_learning)
Czechoslovak-born AI researcher (born 1986)
specialized in deep learning and computer vision. He also worked as the director of artificial intelligence and Autopilot Vision at Tesla, and in 2024 he founded
Andrej_Karpathy
Image-generating machine learning model
called latent diffusion model (LDM), developed in 2021 by the CompVis (Computer Vision & Learning) group at LMU Munich. Stable Diffusion consists of 3 parts:
Stable_Diffusion
Perception of meaningful patterns or images in random or vague stimuli
therefore it was simply pareidolia at work. Pareidolia can occur in computer vision, specifically in image recognition programs, in which vague clues can
Pareidolia
Interdisciplinary field
contrast, noise, and other imaging ambiguities. Although there are many computer vision techniques for image segmentation, some have been adapted specifically
Medical_image_computing
Wavelengths of visible light
Computer Vision Syndrome (CVS) or digital eye strain. CVS classifies a group of vision problems associated with computer use. About 70% of computer users
Blue_light_spectrum
Type of computer vision for wearable cameras
Egocentric vision or first-person vision is a sub-field of computer vision that entails analyzing images and videos captured by a wearable camera, which
Egocentric_vision
Store that does not contain a checkout
check-out phase, stores utilize sensor fusion and deep learning for computer vision to allow customers to walk out with their products without waiting
Cashierless_store
American computer scientist
Italian-American computer scientist focused on artificial intelligence, computer vision, and social robotics. He is a professor of computer science at Stanford
Silvio_Savarese
Skin tone scale for machine learning research
The scale intends to replace the Fitzpatrick scale in fields such as computer vision research after an IEEE study found the Fitzpatrick scale to be "poorly
Monk_Skin_Tone_Scale
American computer scientist (born 1976)
Chinese-born American computer scientist best known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She
Fei-Fei_Li
Machine learning technique
processing, computer vision, and speech recognition. In NLP, it improves context understanding in tasks like question answering and summarization. In vision, visual
Attention_(machine_learning)
American software company
Inc. is an artificial intelligence (AI) company that specializes in computer vision and uses machine learning and deep neural networks to identify and
Clarifai
Fabless semiconductor design company
image processing, and computer vision processors. Ambarella's products are used in a wide variety of human and computer vision applications, including
Ambarella_Inc.
Machine learning paradigm
Self-Supervised Visual Learning". 2017 IEEE International Conference on Computer Vision (ICCV). IEEE. pp. 2070–2079. arXiv:1708.07860. doi:10.1109/iccv.2017
Self-supervised_learning
Engineering discipline specializing in the design of computer hardware
electronics engineering and computer science. Computer engineering may be referred to as Electrical and Computer Engineering or Computer Science and Engineering
Computer_engineering
Series of convolutional neural networks for image classification
3, 144M parameters). The VGG family were widely applied in various computer vision areas. An ensemble model of VGGNets achieved state-of-the-art results
VGGNet
Chinese computer scientist and business magnate (1968–2023)
computer vision, pattern recognition, and video processing. Tang was honored with the Best Paper Award at the 2009 IEEE Conference on Computer Vision
Tang_Xiao'ou
Concept in machine learning
the early 2000s, multilinear tensor methods crossed over into computer vision, computer graphics and machine learning with papers by Vasilescu or in collaboration
Tensor_(machine_learning)
planning, machine learning, deep learning, natural language processing, computer vision, and related areas. A* search algorithm Alpha–beta pruning Beam search
List of artificial intelligence algorithms
List_of_artificial_intelligence_algorithms
Image segmentation algorithm
its extensions has been additionally applied to several problems in computer vision and graphics: Image Colorization Interactive rotoscoping Medical image
Random_walker_algorithm
Indian-American engineer
American engineer and computer scientist known for his contributions to the fields of computer vision, computational imaging, and computer graphics. He is the
Shree_K._Nayar
Swiss technology company
a valuation of US$1 billion. Scandit's core business is to provide computer vision-based smart data capture technology that enables barcode scanning,
Scandit
Approach in generative models
Target applications include natural language processing, robotics and computer vision. The first energy-based generative neural network is the generative
Energy-based_model
Engineering discipline
processing, and microelectronics, and more applied fields such as computer vision, natural language processing, bioinformatics, medical image computing
Information_engineering
Machine learning model family
Neural Networks (R-CNN) are a family of machine learning models for computer vision, and specifically object detection and localization. The original goal
Region Based Convolutional Neural Networks
Region_Based_Convolutional_Neural_Networks
American computer scientist
a research scientist at Google DeepMind. Yang's work is focused on computer vision, machine learning, artificial intelligence, and robotics. He is a fellow
Ming-Hsuan_Yang
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
Glossary_of_computer_science
Overview of and topical guide to deep learning
emphasizes representation learning and is widely used in areas such as computer vision, natural language processing, speech recognition, recommender systems
Outline_of_deep_learning
Computer scientist
on to study at Oxford Brookes University, where he earned a PhD in computer vision for research supervised by Philip Torr in 2007. After his PhD, Kohli
Pushmeet_Kohli
Scientific study of vision
(particularly optics), ethology, and computer science (particularly computer vision, artificial intelligence, and computer graphics), as well as other engineering
Vision_science
Chinese mathematician (born 1968)
1968[citation needed]) is a Chinese computer scientist and applied mathematician known for his work in computer vision, cognitive artificial intelligence
Song-Chun_Zhu
Intelligence of machines
The Atlantic: "Whereas for decades, computer-science fields such as natural-language processing, computer vision, and robotics used extremely different
Artificial_intelligence
Software library for similarity search
Perronnin, Florent (2016). "Polysemous Codes". Computer Vision – ECCV 2016. Lecture Notes in Computer Science. Vol. 9906. pp. 785–801. doi:10.1007/978-3-319-46475-6_48
FAISS
American scientist and author
who has made contributions to machine learning, pattern recognition, computer vision, artificial intelligence, computational optics, image analysis of fine
David_G._Stork
Techniques for lossy compression of neural networks
Davies, E. R. (2021). Advanced Methods and Deep Learning in Computer Vision (Computer Vision and Pattern Recognition). Academic Press. p. 167. ISBN 978-0128221495
Model_compression
Hardware acceleration unit for artificial intelligence tasks
built-in versatile processor unit (VPU) for accelerating inference for computer vision and deep learning. On consumer devices, the NPU is intended to be small
Neural_processing_unit
Vector quantization algorithm minimizing the sum of squared deviations
Lloyd's algorithm. It has been successfully used in market segmentation, computer vision, and astronomy among many other domains. It often is used as a preprocessing
K-means_clustering
Automated recognition of patterns and regularities in data
is popular in the context of computer vision: a leading computer vision conference is named Conference on Computer Vision and Pattern Recognition. In machine
Pattern_recognition
Image processing method
detection is a fundamental tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction
Edge_detection
AI digital assistant
building a project to display images from a blog post, and compiling a computer vision model from an Upwork project. Devin AI has been met with praise, concern
Devin_AI
used to train machine learning algorithms for computer vision applications. This is a list of computer software which can be used for manual annotation
List of manual image annotation tools
List_of_manual_image_annotation_tools
Israeli computer scientist (born 1960)
graphics, theory of computer vision in the areas of multiple-view geometry and multi-view tensors, multilinear algebraic systems in vision and learning, primal/dual
Amnon_Shashua
German computer scientist
de Agapito Vicente is British computer scientist and academic. She is Professor of 3D Vision in the department of computer science at University College
Lourdes_Agapito
American technology company
data company that spun off from Microsoft Research. The company uses computer vision and deep learning algorithms to recognize registered members and process
Metropolis_Technologies
Cloud computing platform by Microsoft
recognition, speaker recognition, neural speech synthesis, face recognition, computer vision, OCR/form understanding, natural language processing, machine translation
Microsoft_Azure
Coordinate system used in projective geometry
Homogeneous coordinates have a range of applications, including computer graphics and 3D computer vision, where they allow affine transformations and, in general
Homogeneous_coordinates
Chinese engineer and computer scientist
Engineering and Computer Sciences at the University of California, Berkeley. Ma was named an IEEE Fellow in 2013 for contributions to computer vision and pattern
Yi_Ma
COMPUTER VISION
COMPUTER VISION
Boy/Male
Arabic, Muslim
Compiler of Hadith
Girl/Female
Tamil
To see, To perceive, To have vision
Male
German
Middle High German byname HEIDEN means "heathen." The composer Josef Haydn's surname was a respelling of this name.
Girl/Female
Tamil
Paying respect, Vision, Knowledge
Boy/Male
Irish
From an Irish name meaning “â€one who aids or assists.â€â€ It is usually translated as Terence and Terry, two names that have become strongly associated with Ireland. Turlough O’Carolan was a 17th century blind harpist and composer who wrote one of the most haunting pieces of Irish music, “â€O’Carolan’s Concerto.â€â€
Surname or Lastname
English
English : from the personal name Eustace (Latin Eustacius, from Greek Eustakhyos, meaning ‘fruitful’, blended with the originally distinct name Eustathios ‘orderly’). The name was borne by various minor saints, but little is known of the most famous St. Eustace, patron saint of hunters, said to have been converted by the vision of a crucifix between the antlers of a hunted stag. In some cases this may be an Americanized form of a Greek family name based on Eusthathios, such as Eustathiadis or Eustathidis.
Boy/Male
Hindu
Computer
Girl/Female
Muslim
To compete with pride
Boy/Male
Muslim
Compiler of Hadith
Boy/Male
Tamil
Vision
Boy/Male
Indian, Sanskrit
Unattained; Cannot be Competed with
Boy/Male
Tamil
Computer
Boy/Male
Irish
From an Irish name meaning “â€one who aids or assists.â€â€ It is usually translated as Terence and Terry, two names that have become strongly associated with Ireland. Turlough O’Carolan was a 17th century blind harpist and composer who wrote one of the most haunting pieces of Irish music, “â€O’Carolan’s Concerto.â€â€
Boy/Male
Latin
He who loves God. Famous Bearer: late composer Wolfgang Amadeus Mozart.
Boy/Male
Latin
He who loves God. Famous Bearer: late composer Wolfgang Amadeus Mozart.
Boy/Male
Irish
From an Irish name meaning “â€one who aids or assists.â€â€ It is usually translated as Terence and Terry, two names that have become strongly associated with Ireland. Turlough O’Carolan was a 17th century blind harpist and composer who wrote one of the most haunting pieces of Irish music, “â€O’Carolan’s Concerto.â€â€
Boy/Male
Tamil
Sengannan | ஸேஂகஂநாந
Visionary
Sengannan | ஸேஂகஂநாந
Boy/Male
Hindu, Indian, Sanskrit
Compiler of the Vedas
Girl/Female
Arabic, Muslim
To Compete with Pride
Boy/Male
Arabic, Muslim
Abu Isa Muhammad Al-tirmidhi; Compiler of the One Collection of Prophet Muhammad
COMPUTER VISION
COMPUTER VISION
Girl/Female
Arabic, Muslim
Learned
Boy/Male
Gujarati, Hindu, Indian, Kannada
Maharshi
Boy/Male
Indian
Praise of Allah
Girl/Female
Assamese, Bengali, Hindu, Indian, Kannada
The End
Girl/Female
Tamil
Goddess Parvathi
Boy/Male
Hindu, Indian
Prayer
Girl/Female
Tamil
Accomplishment, Fame
Female
Chamoru
, lovely, sweet.
Female
Norwegian
Norwegian form of Latin Christina, KJERSTI means "believer" or "follower of Christ."
Female
Arthurian
, wife of king Lot.
COMPUTER VISION
COMPUTER VISION
COMPUTER VISION
COMPUTER VISION
COMPUTER VISION
v. i.
To pay, or arrange to pay, in gross instead of part by part; as, to commute for a year's travel over a route.
p. pr. & vb. n.
of Compute
p. pr. & vb. n.
of Commute
n.
A composer or compiler of hymns; one versed in hymnology.
n.
One who composes or writes a book; a composer, as distinguished from an editor, translator, or compiler.
n.
Compiler.
n.
One who computes.
p. pr. & vb. n.
of Compete
v. i.
To contend emulously; to seek or strive for the same thing, position, or reward for which another is striving; to contend in rivalry, as for a prize or in business; as, tradesmen compete with one another.
v. t.
To compute or rate too high.
imp. & p. p.
of Compete
v. t.
To compute; to count.
v. i.
To calculate; to compute.
n.
A computer.
imp. & p. p.
of Commute
v. t.
To compute erroneously.
n.
A preparation of fruit in sirup in such a manner as to preserve its form, either whole, halved, or quartered; as, a compote of pears.
n.
One who commutes; especially, one who commutes in traveling.
imp. & p. p.
of Compute
v. t.
To exchange; to put or substitute something else in place of, as a smaller penalty, obligation, or payment, for a greater, or a single thing for an aggregate; hence, to lessen; to diminish; as, to commute a sentence of death to one of imprisonment for life; to commute tithes; to commute charges for fares.