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