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ORIGINAL RESEARCH article
Front. Chem.
Sec. Analytical Chemistry
Volume 12 - 2024 |
doi: 10.3389/fchem.2024.1400796
This article is part of the Research Topic Future of Cosmetic Chemistry: Advanced Product Assessment and Chemometrics-assisted Evaluation View all 3 articles
A New Method for the Evaluation of Makeup Coverage Using Hyperspectral Imaging
Provisionally accepted- 1 L’Oréal Research & Innovation, Kawasaki, Japan
- 2 RIKEN, Saitama, Saitama, Japan
- 3 National Institute of Nuclear Physics of Roma Tor Vergata, Roma, Italy
- 4 Department of Physics, University of Rome Tor Vergata, Roma, Lazio, Italy
The coverage of a makeup foundation is a perceived attribute which is not captured by opacity or any other single optical property. As previous instrumental measurements do not allow us to consistently compare one product to another, we have worked on new analysis methods employing hyperspectral imaging. Presumably, the coverage of makeup comes from the change in color, homogeneity, and evenness over the face after application, and the ability of the product to hide spots and other blemishes. As a starting point to unravelling this topic, we define a homogeneity factor α HF which measures the change in the homogeneity of the spectra using the distribution of spectral angles in the face. We likewise define a spectral shift factor β SF which indicates the degree of spectral change after product application. To test these new parameters and the overall analysis method, we applied them to a dataset containing hyperspectral images of three makeup foundation products of different coverage levels applied to 9 models, and find that α HF correlates with the sensory ranking of coverage. Similarly, the parameter β SF correlates with the visible color change induced by the product, and we can map the three products into distinct categories based on their effect on α HF and β SF . Nevertheless, the homogeneity factor α HF does not fully describe coverage, and in the variability in the product effect from model to model we find evidence that we must also account for the relative color difference between the model's skin tone and the product shade among other factors.
Keywords: hyperspectral imaging, spectral imaging, spectral analysis, color evaluation, Product evaluation
Received: 14 Mar 2024; Accepted: 26 Aug 2024.
Copyright: © 2024 Blaksley, Udodaira, Nicolas and Casolino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Carl J. Blaksley, L’Oréal Research & Innovation, Kawasaki, Japan
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