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

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 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 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...

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

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

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

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...

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...

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

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

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

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...

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...

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

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

glasses to enable multimodal input via Computer vision. On July 23, 2024, Meta announced that Meta AI with Vision would be incorporated into v68 of Horizon...

(particularly optics), ethology, and computer science (particularly computer vision, artificial intelligence, and computer graphics), as well as other engineering...

(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...

electronics engineering and computer science. Computer engineering is referred to as electrical and computer engineering or computer science and engineering...

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

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

Error-driven learning has widespread applications in cognitive sciences and computer vision. These methods have also found successful application in natural language...