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A 5-hour follow-up of the impact on ageing facial signs of some foundations in Japanese women through automatically analysed selfie pictures.

Frederic FlamentDamien VellemanEri YamashitaAlexandre NicolasEmilie YokoyamaSalim ChiboutRuowei JiangJeff HoughtonCamille KroelyMatthieu Cassier
Published in: International journal of cosmetic science (2022)
This automatic system appears apt at grading subtle changes in facial ageing signs brought by a foundation and could be a valuable help to the consumers of make-up products, in refining their individual procedure to obtain a more personalized desired facial appearance.
Keyphrases
  • soft tissue
  • blood pressure
  • polycystic ovary syndrome
  • deep learning
  • machine learning
  • minimally invasive
  • type diabetes
  • pregnancy outcomes