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

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 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...

In the fields of computing and computer vision, pose (or spatial pose) represents the position and orientation of an object, usually in three dimensions...

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...

Computer vision dazzle also known as CV dazzle, dazzle makeup, or anti-surveillance makeup, is a type of camouflage used to hamper facial recognition...

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...

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

The Conference on Computer Vision and Pattern Recognition (CVPR) is an annual conference on computer vision and pattern recognition, which is regarded...

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

eyesight Computer vision, a field dealing with how computers can be made to gain understanding from digital images or videos Machine vision, technology...

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

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

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...

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

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

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

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

detection, facial recognition, and multi-label classification. In computer vision, face images have been used extensively to develop facial recognition...

The European Conference on Computer Vision (ECCV) is a biennial research conference with the proceedings published by Springer Science+Business Media...

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 model (BoW model) sometimes called bag-of-visual-words model can be applied to image classification or retrieval...

application in many fields, including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine. The...

AlexNet is considered one of the most influential papers published in computer vision, having spurred many more papers published employing CNNs and GPUs...

its extensions has been additionally applied to several problems in computer vision and graphics: Image Colorization Interactive rotoscoping Medical image...

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

a Chinese-American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is...

on Computer Vision and Pattern Recognition ECCV - European Conference on Computer Vision ICCV - International Conference on Computer Vision SCIA - Scandinavian...

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

check-out phase, stores utilize sensor fusion and deep learning for computer vision to allow customers to walk out with their products without waiting...