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The following outline is provided as an overview of and topical guide to computer vision: Computer vision – interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
PL/I—Programming Language One; PL/M—Programming Language for Microcomputers; PL/P—Programming Language for Prime; PLT—Power Line Telecommunications; PMM—POST Memory Manager; PNG—Portable Network Graphics; PnP—Plug-and-Play; PNRP—Peer Name Resolution Protocol; PoE—Power over Ethernet; PoS—Point of Sale; POCO—Plain Old Class ...
Visual computing [1] is a fairly new term, which got its current meaning around 2005, when the International Symposium on Visual Computing first convened. [2] Areas of computer technology concerning images, such as image formats, filtering methods, color models, and image metrics, have in common many mathematical methods and algorithms.
In computer vision, a bag of visual words is a vector of occurrence counts of a vocabulary of local image features. batch normalization A technique for improving the performance and stability of artificial neural networks. It is a technique to provide any layer in a neural network with inputs that are zero mean/unit variance. [48]
Also simply application or app. Computer software designed to perform a group of coordinated functions, tasks, or activities for the benefit of the user. Common examples of applications include word processors, spreadsheets, accounting applications, web browsers, media players, aeronautical flight simulators, console games, and photo editors. This contrasts with system software, which is ...
A convolutional neural network (CNN) is a regularized type of feedforward neural network that learns features by itself via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio. [1]
A vision transformer (ViT) is a transformer designed for computer vision. [1] A ViT decomposes an input image into a series of patches (rather than text into tokens ), serializes each patch into a vector, and maps it to a smaller dimension with a single matrix multiplication .