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

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 syndrome (CVS) is a condition resulting from focusing the eyes on a computer or other display device for protracted, uninterrupted periods...

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...

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...

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

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 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...

subsequent work in deep learning, especially in applying neural networks to computer vision. AlexNet contains eight layers: the first five are convolutional layers...

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...

The Conference on Computer Vision and Pattern Recognition is an annual conference on computer vision and pattern recognition. The conference was first...

In computer vision, the fundamental matrix F {\displaystyle \mathbf {F} } is a 3×3 matrix which relates corresponding points in stereo images. In epipolar...

learning found in humans and animals. Within artificial intelligence, computer vision aims to understand and process image and video data, while natural...

of computer vision, graph cut optimization can be employed to efficiently solve a wide variety of low-level computer vision problems (early vision), such...

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

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

Computer Vision Annotation Tool (CVAT) is an open source, web-based image and video annotation tool used for labeling data for computer vision algorithms...

(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...

transformers. As of 2024[update], diffusion models are mainly used for computer vision tasks, including image denoising, inpainting, super-resolution, image...

and distance measurements is referred to as triangulateration. Computer stereo vision and optical 3D measuring systems use this principle to determine...

The International Conference on Computer Vision (ICCV) is a research conference sponsored by the Institute of Electrical and Electronics Engineers (IEEE)...

In computer vision, the bag-of-words (BoW) model, sometimes called bag-of-visual-words model, can be applied to image classification or retrieval, by...

on Computer Vision. arXiv:1502.01852. doi:10.1109/ICCV.2015.123. Linn, Allison (2015-12-10). "Microsoft researchers win ImageNet computer vision challenge"...

Medicine Veterinary Library Sabadell University Library Computer Vision Center is a computer vision research centre based at UAB. It was established in 1994...

Russakovsky is an associate professor of computer science at Princeton University. Her research investigates computer vision and machine learning. She was one...

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

data labeling through its subsidiaries, Remotasks, which focuses on computer vision and autonomous vehicles, and Outlier, which focuses on data annotation...

response, web scraping systems use techniques involving DOM parsing, computer vision and natural language processing to simulate human browsing to enable...

artificial intelligence (AI). Training AI models, particularly in computer vision and natural language processing, requires large volumes of annotated...