Wrinkle feature-based skin age estimation scheme

Kyungrok Kim, Young Hwan Choi, Eenjun Hwang

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

    17 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
    Country/TerritoryUnited 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

    Fingerprint

    Dive into the research topics of 'Wrinkle feature-based skin age estimation scheme'. Together they form a unique fingerprint.

    Cite this