Skin Tone Analysis Through Skin Tone Map Generation With Optical Approach and Deep Learning

Despite the need to measure the illuminant spectrum and for further physiological validation, the proposed approach shows potential for enhancing skin tone assessment. Its ability to mitigate the effects of illuminants and distinguish between the two dominant pigments offers promising applications in both cosmetic and medical diagnostics.

Authors

Publication Details

Journal
Skin Research and Technology
Published
2024-10-01
DOI
https://doi.org/10.1111/srt.70088
Citations
4
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
1.35

Funders

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article

Skin Tone Analysis Through Skin Tone Map Generation With Optical Approach and Deep Learning

Geunho Jung, Sangwook Yoo, Semin Kim
4 citations
Skin Research and Technology
Color Science and Applications
1.35
article

Skin Tone Analysis Through Skin Tone Map Generation With Optical Approach and Deep Learning

Geunho Jung, Sangwook Yoo, Semin Kim
article en
4 citations

Abstract

Despite the need to measure the illuminant spectrum and for further physiological validation, the proposed approach shows potential for enhancing skin tone assessment. Its ability to mitigate the effects of illuminants and distinguish between the two dominant pigments offers promising applications in both cosmetic and medical diagnostics.

Skin Research and TechnologyVol. 30(10)
National IT Industry Promotion Agency, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 19%
Color Science and Applications
1.35
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