Original title: Face Parametrization From Video Using Face Recognition Methods
Authors: Lieskovský, Pavol
Document type: Papers
Language: slo
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: In the frame of this article, a program has been created that can extract persons face features from the video of an speaking person into a structured time series form suitable for further processing. Such a program utilizes machine learning and face recognition methods and it represents a solution to the general problem of face parametrization from video that can find its applications across many different fields.
Keywords: face landmark estimation; face parametrization; face recognition; time series
Host item entry: Proceedings of the 25st Conference STUDENT EEICT 2019, ISBN 978-80-214-5735-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/186664

Permalink: http://www.nusl.cz/ntk/nusl-414566


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers