Analysis and comparison of face detection apis

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dc.contributor.authorNikolaievskyi O. Yu.
dc.contributor.authorSkliarenko O.V.
dc.contributor.authorSidorchuk A.I.
dc.date.accessioned2023-10-14T09:19:28Z
dc.date.available2023-10-14T09:19:28Z
dc.date.issued2019
dc.description.abstractToday, more and more information is being accumulated in digital form, including media content, which is a growing segment of the Internet, searching for such content is an important task, but it is significantly different from textual information search and involves image recognition. Images recognition is an automatic comparison of images to objects in a class. There are two major issues in this area: classification and identification. The first helps the search engine to understand what type of object is in the media resource. Only correctly having solved this fundamental problem, the computer will be able to distinguish, for example, a dog from a cat. The second allows not only to find the object category, but also to identify it. The article defines the mathematical formulation of the problem, which is important in order to formalize the accuracy of recognition and to determine the procedure for comparing the capabilities of existing algorithms. The results show that existing APIs allow you to largely solve the problem of face recognition in images, and the next important step is to recognize the face of a person on the move, that is, on video content.
dc.identifier.issn2412-4338
dc.identifier.urihttp://dspace.e-u.edu.ua/handle/123456789/75
dc.language.isoen
dc.publisherВидавництво Державного університету телекомунікацій
dc.relation.ispartofseries4 (65)
dc.titleAnalysis and comparison of face detection apis
dc.typeArticle
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