Artificial Intelligence for Assessing Hair Assembly Features

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Daniels, Gabriela and Tamburic, Slobodanka and Benini, Sergio and Randall, Jane and Sanderson, Tracey and Sarvardi, Mattia (2021) Artificial Intelligence for Assessing Hair Assembly Features. In: 9th International Conference on Applied Hair Science, 7-11 June 2021, TRI Princeton, Red Bank, NJ, USA.

Type of Research:	Conference, Symposium or Workshop Item
Creators:	Daniels, Gabriela and Tamburic, Slobodanka and Benini, Sergio and Randall, Jane and Sanderson, Tracey and Sarvardi, Mattia
Description:	The objective of this study was to apply computer vision and machine learning techniques to quantify the effects of haircare treatments on hair assembly and to identify correctly whether unknown tresses were treated or not. A secondary objective was to explore and compare the performance of human assessment with that obtained from artificial intelligence (AI) algorithms.
Official Website:	https://www.triprinceton.org/tri-9th-international
Your affiliations with UAL:	Colleges > London College of Fashion
Date:	9 June 2021
Event Location:	TRI Princeton, Red Bank, NJ, USA
Date Deposited:	24 Jun 2021 13:53
Last Modified:	14 Feb 2024 15:36
Item ID:	17010
URI:	https://ualresearchonline.arts.ac.uk/id/eprint/17010

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