Publication: Classification of Men's Hairstyles on Photos from Different Angles Using Hair Segmentation
Дата
2021
Авторы
Kovalkova, M. E.
Ilyasov, T. K.
Journal Title
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Volume Title
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Аннотация
© 2021 IEEE.The article discusses a new classification system for haircuts, which consists of two neural networks. The user can get information about the type of hairstyle and the guide on how to do this hairstyle by photo. For the first part of the model, we use a convolutional neural network of a complex structure that highlights hair using segmentation in the photo and collects data about the parameters of the hairstyle. This allows the system to more accurately determine the type of male haircut, allowing you to use this tool in various fields of activity. The second neural network is a classifier that processes the information received from the first neural network and determines the type of haircut of the user.
Описание
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Цитирование
Kovalkova, M. E. Classification of Men's Hairstyles on Photos from Different Angles Using Hair Segmentation / Kovalkova, M.E., Ilyasov, T.K. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 483-485. - 10.1109/ElConRus51938.2021.9396465
URI
https://www.doi.org/10.1109/ElConRus51938.2021.9396465
https://www.scopus.com/record/display.uri?eid=2-s2.0-85104772072&origin=resultslist
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https://openrepository.mephi.ru/handle/123456789/23986
https://www.scopus.com/record/display.uri?eid=2-s2.0-85104772072&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800108
https://openrepository.mephi.ru/handle/123456789/23986