He, R orcid.org/0000-0002-6249-3918, Xiao, K orcid.org/0000-0001-7197-7159, Pointer, M et al. (1 more author) (2020) Assessing skin tone heterogeneity under various light sources. In: Proceedings of IS&T London Imaging Meeting. London Imaging Meeting 2020 Future Colour Imaging, 29 Sep - 01 Oct 2020, London. Society for Imaging Science & Technology
Abstract
In this paper, skin tone heterogeneity in five facial areas (forehead, right cheekbone, left cheekbone, nose tip and chin) was investigated under six light sources with correlated color temperature (CCT) of 2850 K, 3500 K, 5000 K, 5500 K, 6500 K and 9000 K. Firstly, a facial image capturing protocol was developed and applied to five female participants, and their facial skin tone was analyzed based on the captured images. Through color characterization of the camera, XYZ values in each facial area were converted by a matrix from the extracted RGB data and then transformed to CAM02-UCS color space. MCDM with CAM02-UCS color difference was used to quantify skin tone heterogeneity in each facial area. The results under different light sources indicated that larger heterogeneity exists under the light source with lower CCT, and when the CCT of the light source ranges from 5000 K to 9000 K, there was smaller skin tone heterogeneity in each facial area.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Reprinted with permission of IS&T: The Society for Imaging Science and Technology sole copyright owners of the London Imaging Meeting 2020: Future Colour Imaging. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Design (Leeds) |
Funding Information: | Funder Grant number EU - European Union 114830 |
Depositing User: | Symplectic Publications |
Date Deposited: | 01 Oct 2020 12:59 |
Last Modified: | 21 Mar 2022 15:11 |
Status: | Published |
Publisher: | Society for Imaging Science & Technology |
Identification Number: | 10.2352/issn.2694-118X.2020.LIM-15 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166117 |