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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.
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]
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 ...
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 ...
The dictionary incorporates the text of other free resources, such as the Jargon File, as well as covering many other computing-related topics. Due to its availability under the GNU Free Documentation License , a copyleft license, it has in turn been incorporated in whole or part into other free content projects, such as Wikipedia .
Computer stereo vision takes two or more images with known relative camera positions that show an object from different viewpoints. For each pixel it then determines the corresponding scene point's depth (i.e. distance from the camera) by first finding matching pixels (i.e. pixels showing the same scene point) in the other image(s) and then ...
In computer vision, the bag-of-words model (BoW model) sometimes called bag-of-visual-words model [1] [2] can be applied to image classification or retrieval, by treating image features as words. In document classification , a bag of words is a sparse vector of occurrence counts of words; that is, a sparse histogram over the vocabulary.
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.