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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)
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
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)
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)
Topics referred to by the same term
up feature in Wiktionary, the free dictionary. Feature may refer to: Feature recognition, could be a hole, pocket, or notch Feature (computer vision),
Feature
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
Feature detection and description computer vision algorithm
is a fast robust local feature detector, first presented by Ethan Rublee et al. in 2011, that can be used in computer vision tasks like object recognition
Oriented FAST and rotated BRIEF
Oriented_FAST_and_rotated_BRIEF
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
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
The appearance of chessboards in computer vision can be divided into three main areas: camera calibration, feature extraction, and real-world board state
Chessboard_detection
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
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
Feature descriptor used in computer vision
The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection. The
Histogram of oriented gradients
Histogram_of_oriented_gradients
(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
Feature detection algorithm in computer vision
The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David
Scale-invariant feature transform
Scale-invariant_feature_transform
Determining the position and orientation of a robot by analyzing associated camera images
In robotics and computer vision, visual odometry is the process of determining the position and orientation of a robot or other computer-based system by
Visual_odometry
Method of 3D reconstruction from moving objects
is a classic problem studied in the fields of computer vision and visual perception. In computer vision, the problem of SfM is to design an algorithm
Structure_from_motion
Computer technology related to computer vision and image processing
Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a
Object_detection
Second-generation home video game console
home computer, using the ColecoVision hardware primarily as a display system and handling joysticks. The resulting system ran all ColecoVision games
ColecoVision
Mapping of data into a single system
from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, military automatic target recognition, and compiling
Image_registration
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)
Software program
DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns
DeepDream
Type of artificial intelligence system
commercial applications now rely on this ability. OpenAI introduced computer vision capabilities to its GPT-4V variant of the GPT-4 model, enabling users
Vision-language_model
Computer vision library
OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. Originally developed by Intel
OpenCV
Area of computer vision
An area of computer vision is active vision, sometimes also called active computer vision. An active vision system is one that can manipulate the viewpoint
Active_vision
Mixed reality headset by Apple
The Apple Vision Pro is a head-worn computer developed by Apple. It was announced on June 5, 2023, at Apple's Worldwide Developers Conference (WWDC) and
Apple_Vision_Pro
local characteristics of scale, rotation and translation invariant, each feature coincidence gives a hypothesis alignment for scaling, translation and orientation
Spatial_verification
Process used in video coding/compression
In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image
Motion_estimation
Basic 3D shape extracted from a 2D image
In computer vision, the term cuboid is used to describe a small spatiotemporal volume extracted for purposes of behavior recognition. The cuboid is regarded
Cuboid_(computer_vision)
computer animation. This is a list of theatrically released feature films that are entirely computer-animated. Release date listed is the first public theatrical
List of computer-animated films
List_of_computer-animated_films
American computer scientist
Engineering. He is known for his research in computer vision and is the director of the Caltech Computational Vision Group. Perona obtained his D.Eng. in electrical
Pietro_Perona
Approach used in computer vision systems
Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection
Corner_detection
Particular task in computer vision
In computer vision and image processing, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness
Blob_detection
fundamental problem in image processing. It refers to the problem in computer vision of ascertaining which parts of one image correspond to which parts
Correspondence_problem
appearance and shape". Proceedings Ninth IEEE International Conference on Computer Vision. IEEE ICCV. pp. 34-41 vol.1. doi:10.1109/iccv.2003.1238311. ISBN 0-7695-1950-4
Video imprint (computer vision)
Video_imprint_(computer_vision)
Japanese computer scientist
24, 1945 in Hyōgo) is a Japanese computer scientist and one of the world's foremost researchers in computer vision. He is U.A. and Helen Whitaker Professor
Takeo_Kanade
Object categorization problem
One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning-based object categorization algorithms
One-shot learning (computer vision)
One-shot_learning_(computer_vision)
Set of learning techniques in machine learning
machine learning (AutoML) Deep learning Geometric feature learning Feature detection (computer vision) Feature extraction Word embedding Vector quantization
Feature_learning
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
Descriptor of computer vision
patterns (LBP) is a type of visual descriptor used for classification in computer vision. LBP is the particular case of the Texture Spectrum model proposed
Local_binary_patterns
Tensor related to gradients
coordinates. The structure tensor is often used in image processing and computer vision. For a function I {\displaystyle I} of two variables p = (x, y), the
Structure_tensor
Professor of Computer Science
context, a widely used feature descriptor in object recognition. He has co-founded several startups in the areas of computer vision and object recognition
Serge_Belongie
Hardware used in Tesla autonomous driving systems
about to increase its lead in semi-autonomous driving w/ 'Tesla Vision': computer vision based on NVIDIA's parallel computing". Electrek. Retrieved October
Tesla_Autopilot_hardware
Mathematical technique
mode-seeking algorithm. Application domains include cluster analysis in computer vision and image processing. The mean shift procedure is usually credited
Mean_shift
Home video game console
The Cassette Vision sold around 400,000 units, and was the best selling video game console in Japan before Nintendo's Family Computer. It received a
Cassette_Vision
Process of capturing the shape and appearance of real objects
In computer vision and computer graphics, 3D reconstruction is the process of capturing the shape and appearance of real objects. This process can be accomplished
3D_reconstruction
Framework for multi-scale signal representation
by the computer vision, image processing and signal processing communities with complementary motivations from physics and biological vision. It is a
Scale_space
Family of convolutional neural networks
Inception is a family of convolutional neural network (CNN) for computer vision, introduced by researchers at Google in 2014 as GoogLeNet (later renamed
Inception (deep learning architecture)
Inception_(deep_learning_architecture)
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
Robust local feature detector
In computer vision, speeded up robust features (SURF) is a local feature detector and descriptor, with patented applications. It can be used for tasks
Speeded_up_robust_features
Computational navigational technique used by robots and autonomous vehicles
SLAM algorithms are based on concepts in computational geometry and computer vision, and are used in robot navigation, robotic mapping and odometry for
Simultaneous localization and mapping
Simultaneous_localization_and_mapping
Digital image features for object recognition
"Rapid object detection using a boosted cascade of simple features", Computer Vision and Pattern Recognition, 2001 Papageorgiou, Oren and Poggio, "A general
Haar-like_feature
Image processing method
tool in image processing, machine vision and computer vision, particularly in the areas of feature detection and feature extraction. The purpose of detecting
Edge_detection
the fields of computer vision and image analysis, the Harris affine region detector belongs to the category of feature detection. Feature detection is
Harris_affine_region_detector
Process of determining spatial characteristics of objects
scan. It arises in computer vision or robotics where the pose or transformation of an object can be used for alignment of a computer-aided design models
3D_pose_estimation
Problem setup in machine learning
zebras look like striped horses. This problem is widely studied in computer vision, natural language processing, and machine perception. The first paper
Zero-shot_learning
Family of computer vision models designed for efficient inference on mobile devices
architectures designed for image classification, object detection, and other computer vision tasks. They are designed for small size, low latency, and low power
MobileNet
Machine vision system
A smart camera is a machine vision system which, in addition to image capture circuitry, is capable of extracting application-specific information from
Smart_camera
Chinese-American computer scientist
symmetry and regularity in computer vision, as well as on feature selection for motion tracking. She is a professor of computer science at Pennsylvania State
Yanxi_Liu
Indian-American academic (born 1960)
Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is known for his research in computer vision. Malik was born in Mathura
Jitendra_Malik
Pattern of motion in a visual scene due to relative motion of the observer
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2010 IEEE Computer Society Conference on Computer Vision and Pattern
Optical_flow
Topics referred to by the same term
a "feature detection column" Feature detection (computer vision), methods for finding parts of an image relevant to a computational task Feature detection
Feature_detection
Content-based image retrieval
the comparison between images using content-based image retrieval computer vision techniques. During the search the content of the image is examined
Reverse_image_search
Machine learning model family
perform selective search over feature maps outputted by a CNN. R-CNN has been extended to perform other computer vision tasks, such as: tracking objects
Region Based Convolutional Neural Networks
Region_Based_Convolutional_Neural_Networks
Technique in photogrammetry and computer vision
In photogrammetry and computer stereo vision, bundle adjustment is simultaneous refining of the 3D coordinates describing the scene geometry, the parameters
Bundle_adjustment
3D reconstruction technique
traditional computer vision would struggle. NeRFs can also generate photorealistic human faces, making them valuable tools for human-computer interaction
Neural_radiance_field
French computer scientist (born 1960)
1960) is a French-American computer scientist working in the fields of artificial intelligence, machine learning, computer vision, robotics and image compression
Yann_LeCun
The motion analysis technique usually involves a high-speed camera and a computer that has software allowing frame-by-frame playback of the video. Traditionally
Video_motion_analysis
Consistent Novel View Synthesis from a Single Image. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024. Dan, T. (2025). Generation and
View_synthesis
Method of detecting shapes within images
The Hough transform (/hʌf/) is a feature extraction technique used in image analysis, computer vision, pattern recognition, and digital image processing
Hough_transform
Explainable AI technique
contained in the so-called feature maps from input data. CNNs have demonstrated to be highly effective in a variety of computer vision and image processing
Class_activation_mapping
Algorithm for edge detection in digital images
In computer vision, the Marr–Hildreth algorithm is a method of detecting edges in digital images, that is, continuous curves where there are strong and
Marr–Hildreth_algorithm
Type of diagnosis assisted by computers
interdisciplinary technology combining elements of artificial intelligence and computer vision with radiological and pathology image processing. A typical application
Computer-aided_diagnosis
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
Computer vision algorithm
corner detector is a corner detection operator that is commonly used in computer vision algorithms to extract corners and infer features of an image. It was
Harris_corner_detector
Technique combining machine learning and computer vision
Geometric feature learning is a technique combining machine learning and computer vision to solve visual tasks. The main goal of this method is to find
Geometric_feature_learning
Canadian computer scientist
York University. Lowe is a researcher in computer vision, and is the author of the patented scale-invariant feature transform (SIFT), one of the most popular
David_G._Lowe
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
Measurable property or characteristic
In computer vision, there are a large number of possible features, such as edges and objects. In pattern recognition and machine learning, a feature vector
Feature_(machine_learning)
1978 home computer
The CyberVision 2001 (commonly referred to as CyberVision Home Computer) was an early 8-bit home computer, distributed by Montgomery Ward in the late 1970s
CyberVision_2001
Process of finding a spatial transformation that aligns two point clouds
In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process
Point-set_registration
Method used to normalize the range of independent variables
Feature scaling is a method used to normalize the range of independent variables or features of data. In data processing, it is also known as data normalization
Feature_scaling
Irish computer scientist (born 1968)
researcher in computer vision. Since 2022, he has worked at Graphcore. Fitzgibbon went to school at Coláiste Chríost Rí in Cork, and then studied Computer Science
Andrew_Fitzgibbon_(engineer)
In computer vision and computer graphics, 4D reconstruction is the process of capturing the shape and appearance of real objects along a temporal dimension
4D_reconstruction
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
Corner detection method in computer vision
method, which could be used to extract feature points and later used to track and map objects in many computer vision tasks. The FAST corner detector was
Features from accelerated segment test
Features_from_accelerated_segment_test
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
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
Indian-American computer scientist (born 1948)
researchers in computer science, and is internationally recognized for his foundational contributions to pattern recognition, computer vision, and biometric
Anil K. Jain (computer scientist, born 1948)
Anil_K._Jain_(computer_scientist,_born_1948)
Problem in computer vision and robotics
picking (also referred to as random bin picking) is a core problem in computer vision and robotics. The goal is to have a robot with sensors and cameras
Bin_picking
Method of creating moving pictures
For display on computers, technology such as the animated GIF and Flash animation were developed. In addition to short films, feature films, television
Animation
Computer recognition of visual text
field of research in pattern recognition, artificial intelligence and computer vision. Early versions needed to be trained with images of each character
Optical_character_recognition
Type of feedforward neural network
CNNs are the de-facto standard in deep learning-based approaches to computer vision and image processing, and have only recently been replaced—in some
Convolutional_neural_network
Algorithm to detect local features in images
In the fields of computer vision and image analysis, the scale-invariant feature operator (or SFOP) is an algorithm to detect local features in images
Scale-invariant feature operator
Scale-invariant_feature_operator
Approach to feature extraction
In computer vision, the Kanade–Lucas–Tomasi (KLT) feature tracker is an approach to feature extraction. It is proposed mainly for the purpose of dealing
Kanade–Lucas–Tomasi feature tracker
Kanade–Lucas–Tomasi_feature_tracker
Electronic game with user interface and visual feedback
A video game, computer game, or simply game is an electronic game that involves interaction with a user interface or input device (such as a joystick,
Video_game
Creation of a 3D model from a set of images
Geometry of stereo vision Camera resectioning – Process of estimating the parameters of a pinhole camera model Computer stereo vision – Extraction of 3D
3D reconstruction from multiple images
3D_reconstruction_from_multiple_images
Research field that lies at the intersection of machine learning and computer security
models (2012–2013). In 2012, deep neural networks began to dominate computer vision problems; starting in 2014, Christian Szegedy and others demonstrated
Adversarial_machine_learning
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
Robot control by visual feedback
also known as vision-based robot control and abbreviated VS, is a technique which uses feedback information extracted from a vision sensor (visual feedback)
Visual_servoing
FEATURE COMPUTER-VISION
FEATURE COMPUTER-VISION
Boy/Male
Hindu
Feature
Surname or Lastname
English
English : from Middle English fether ‘feather’, applied as a metonymic occupational name for a trader in feathers and down, a maker of quilts, or possibly a maker of pens. Feathermongers are recorded from the 13th century onwards. In some cases the surname may have arisen from a nickname denoting a very light person or perhaps a person of no account.Americanized form of German Feder.
Boy/Male
Hindu
The Moon, Feature
Boy/Male
Assamese, Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Punjabi, Sikh, Telugu
Sign; Feature; Beautiful
Boy/Male
Hindu
Computer
Boy/Male
Muslim
Compiler of Hadith
Boy/Male
Indian, Sanskrit
Unattained; Cannot be Competed with
Boy/Male
Tamil
Computer
Boy/Male
Tamil
Feature
Boy/Male
Tamil
The Moon, Feature
Girl/Female
Muslim
To compete with pride
Boy/Male
Arabic, Muslim
Compiler of Hadith
Boy/Male
Hindu
The Moon, Feature
Girl/Female
Arabic, Muslim
To Compete with Pride
Boy/Male
Hindu, Indian
Bright Feature; Light
Boy/Male
Hindu, Indian
Features
Boy/Male
Tamil
The Moon, Feature
Boy/Male
Indian
Nature Creature
Boy/Male
Hindu, Indian, Sanskrit
Compiler of the Vedas
Girl/Female
Hindu, Indian, Kannada, Marathi, Tamil, Telugu
Feature; Future
FEATURE COMPUTER-VISION
FEATURE COMPUTER-VISION
Boy/Male
Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Unforgettable
Girl/Female
Tamil
Meditation
Boy/Male
Indian, Telugu
Young One; God
Boy/Male
Muslim/Islamic
Thought imagination
Boy/Male
Australian, Celtic, Gaelic, Irish
Hero
Girl/Female
Dutch, German, Indian, Punjabi, Sikh
Explanation
Male
English
English name derived from Latin Vincentius, VINCENT means "conquering."
Boy/Male
Hindi
Fertile.
Female
Arthurian
, North Wales.
Boy/Male
Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu
Treasure
FEATURE COMPUTER-VISION
FEATURE COMPUTER-VISION
FEATURE COMPUTER-VISION
FEATURE COMPUTER-VISION
FEATURE COMPUTER-VISION
v. t.
To compute erroneously.
n.
The cast or structure of anything, or of any part of a thing, as of a landscape, a picture, a treaty, or an essay; any marked peculiarity or characteristic; as, one of the features of the landscape.
imp. & p. p.
of Compute
imp. & p. p.
of Compete
n.
One who computes.
n.
A computer.
n.
Extent or degree not excessive or beyong bounds; moderation; due restraint; esp. in the phrases, in measure; with measure; without or beyond measure.
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.
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.
imp. & p. p.
of Commute
p. pr. & vb. n.
of Compute
a.
Having features; formed into features.
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.
n.
A composer or compiler of hymns; one versed in hymnology.
n.
One who commutes; especially, one who commutes in traveling.
n.
The texture of a freshly broken surface; as, a compact fracture; an even, hackly, or conchoidal fracture.
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.
n.
Kind; nature; species; -- from the proverbial phrase, "Birds of a feather," that is, of the same species.
a.
Having features; showing marked peculiarities; handsome.
n.
One who composes or writes a book; a composer, as distinguished from an editor, translator, or compiler.