Wrinkle feature-based skin age estimation scheme

Kyungrok Kim, Young Hwan Choi, Eenjun Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

With the rapid deployment of information technology and the availability of cheap yet high performance image capturing devices, new types of healthcare services such as self-diagnosis and treatment have become possible. Skin is the outer layer of the human body and has long attracted a great deal of attention, since its appearance conveys useful information on the health condition of the subject. In this paper, we propose a skin age estimation scheme based on its wrinkle features such as length, width and depth, which represents the physical condition of skin statistically and quantitatively. We collected wrinkle features and personal data from various subjects, including age and gender, and constructed the ground truth in consultation with dermatologists. For the estimation, we used a non-linear, multi-class SVM (Support Vector Machine). Via extensive experiments on our prototype system, we show that our scheme achieves a reasonable accuracy.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
Pages1222-1225
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Multimedia and Expo, ICME 2009 - New York, NY, United States
Duration: 2009 Jun 282009 Jul 3

Publication series

NameProceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009

Other

Other2009 IEEE International Conference on Multimedia and Expo, ICME 2009
CountryUnited States
CityNew York, NY
Period09/6/2809/7/3

Keywords

  • Health care
  • SVM classifier
  • Skin age
  • Wrinkle features

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

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