The first 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. The second objective was to explore and compare the performance of human assessment with that obtained from artificial intelligence (AI) algorithms.

Artificial Intelligence in hair research: a proof-of-concept study on evaluating hair assembly features

Benini, Sergio;Savardi, Mattia
2021-01-01

Abstract

The first 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. The second objective was to explore and compare the performance of human assessment with that obtained from artificial intelligence (AI) algorithms.
2021
2021
Nessuno
PE5_1 Structural properties of materials
PE6_11 Machine learning, statistical data processing and applications using signal processing (eg. speech, image, video)
PE6_7 Artificial intelligence, intelligent systems, multi agent systems
Esperti anonimi
Inglese
Internazionale
ELETTRONICO
artificial intelligence; bleached hair; hair detection; hair segmentation; machine learning; sensory assessment; virgin hair
Nessuno
https://onlinelibrary.wiley.com/doi/10.1111/ics.12706
6
info:eu-repo/semantics/article
262
Daniels, Gabriela; Tamburic, Slobodanka; Benini, Sergio; Randall, Jane; Sanderson, Tracey; Savardi, Mattia
1 Contributo su Rivista::1.1 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11379/544755
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