ENBIS-17 in Naples

9 – 14 September 2017; Naples (Italy) Abstract submission: 21 November 2016 – 10 May 2017

How to Classify Facial Skin Colour: A Comparative Study of 3 Different Investigative Methods

12 September 2017, 18:40 – 19:00

Abstract

Submitted by
emmanuelle mauger
Authors
Emmanuelle Mauger (Chanel PB), Gabriel Cazorla (Chanel PB), Guylaine Legendre (Chanel PB), Julie Latreille (Chanel PB), Frédérique Morizot (Chanel PB)
Abstract
Skin colour plays an important social role through its impact on the assessment of ethnicity, age, health status and attractiveness. The objective of this study is to compare digital and spectrocolorimeter skin colour measurements and human perception of skin colour. This study was conducted on 94 Caucasian women (20-40 years), on which digital and spectrocolorimeter skin colour measurements were performed. To get what human eye may distinguish, a free sorting task was performed by 15 judges on a selection of 26 pictures among the 94. Each judge had to regroup pictures in as many classes as they wished. For the digital and spectrolorimeter data, the relationships between skin colour parameters were examined using Principal Component Analysis, and typologies were set up. The free sorting task was analysed using multidimensional scaling on dissimilarity matrix followed by clustering method. The search for typologies of skin colour on digital and spectrolorimeter data, lead to respectively 6 and 4 clusters. For the free sorting task, judges split the 26 pictures into 3 to 10 groups, and the search for typology lead to identify 5 clusters. Graphically, the three methods lead to close results, and percentage comparison tests between typologies by pair confirmed the consistency of the three typologies. Therefore, we can use both devices (spectrocolorimeter & digital picture) to investigate the skin colour perceived by a human eye. This colour classification will be useful for recommending make-up strategies for Caucasian women. This approach will be extended to darker skin.
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