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...

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...

Computer vision tasks include methods for acquiring, processing, analyzing, and understanding digital images, and extraction of high-dimensional data...

up feature in Wiktionary, the free dictionary. Feature may refer to: Feature recognition, could be a hole, pocket, or notch Feature (computer vision),...

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...

The appearance of chessboards in computer vision can be divided into two main areas: camera calibration and feature extraction. This article provides...

Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera. By comparing information about...

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...

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...

overview of and topical guide to computer vision: Computer vision – interdisciplinary field that deals with how computers can be made to gain high-level...

systems engineering discipline can be considered distinct from computer vision, a form of computer science. It attempts to integrate existing technologies in...

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...

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...

computer animation. This is a list of theatrically released feature films that are entirely computer-animated. Release date listed is the first public theatrical...

The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection. The...

(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...

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...

OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. Originally developed by Intel...

In computer vision, the term cuboid is used to describe a small spatiotemporal volume extracted for purposes of behavior recognition. The cuboid is regarded...

The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David...

One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning-based object categorization algorithms...

In robotics and computer vision, visual odometry is the process of determining the position and orientation of a robot by analyzing the associated camera...

local characteristics of scale, rotation and translation invariant, each feature coincidence gives a hypothesis alignment for scaling, translation and orientation...

The correspondence problem refers to the fundamental problem in computer vision of ascertaining which parts of one image correspond to which parts of...

from different sensors, times, depths, or viewpoints. It is used in computer vision, medical imaging, military automatic target recognition, and compiling...

In computer vision and image processing, motion estimation is the process of determining motion vectors that describe the transformation from one 2D image...

DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns...

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...

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...

Underwater computer vision is a subfield of computer vision. In recent years, with the development of underwater vehicles ( ROV, AUV, gliders), the need...