Exploring the Facial Color Representative Regions Using the Humanae Images

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It is difficult to describe facial skin color through a solid color as it varies from region to region. In this article, the authors utilized image analysis to identify the facial color representative region. A total of 1052 female images from Humanae project were selected as a solid color was generated for each image as their representative skin colors by the photographer. Using the open CV-based libraries, such as EOS of Surrey Face Models and DeepFace, 3448 facial landmarks together with gender and race information were detected. For an illustrative and intuitive analysis, they then re-defined 27 visually important sub-regions to cluster the landmarks. The 27 sub-region colors for each image were finally derived and recorded in L*, a*, and b*. By estimating the color difference among representative color and 27 sub-regions, we discovered that sub-regions of below lips (low Labial) and central cheeks (upper Buccal) were the most representative regions across four major ethnicity groups. In future study, the methodology is expected to be applied for more image sources.
Publisher
I S & T-SOC IMAGING SCIENCE TECHNOLOGY
Issue Date
2020-11
Language
English
Article Type
Article
Citation

JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, v.64, no.6, pp.060406

ISSN
1062-3701
DOI
10.2352/J.ImagingSci.Technol.2020.64.6.060406
URI
http://hdl.handle.net/10203/281124
Appears in Collection
ID-Journal Papers(저널논문)
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