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

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...

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...

A vision transformer (ViT) is a transformer designed for computer vision. A ViT breaks down an input image into a series of patches (rather than breaking...

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

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

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

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...

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...

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

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

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

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

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

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

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

Computer engineering (CoE or CpE) is a branch of computer science and electronic engineering that integrates several fields of computer science and electronic...

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

therefore it was simply pareidolia at work. Pareidolia can occur in computer vision, specifically in image recognition programs, in which vague clues can...

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

photography, scientific visualization, computational geometry and computer vision, among others. The overall methodology depends heavily on the underlying...

personal camouflage from face-detection technology, which he calls computer vision dazzle. Its intention is to block detection by facial recognition technologies...