An automatic virtual makeup scheme based on personal color analysis

Jisoo Park, Hyungjoon Kim, Seonmi Ji, Eenjun Hwang

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

    7 Citations (Scopus)

    Abstract

    With people's timeless interest in beauty and the recent development of IT technologies, there has been a growing demand for a system that can suggest appropriate cosmetics or fashion styles to each individual. So far, professionals have made such suggestion subjectively or depending on personal experience, which produced inconsistent results. One possible method to do this objectively and systematically would be to utilize the personal color of an individual. Personal color, also known as skin tone color matching is the process of finding colors of clothing and makeup to match a person's skin complexion, eye color, and hair color. In this paper, we propose a scheme for automatically generating virtual makeup based on personal color. To do that, we first identify user's personal color from the image by analyzing the color of pupils, hair, and skin, and then select cosmetic method and colors. Lastly, by looking up the predefined makeup database for foundation, blush, lipstick, eyeline, and eyeshadow, we produce a virtual makeup on the user's face image.

    Original languageEnglish
    Title of host publicationProceedings of the 12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
    PublisherAssociation for Computing Machinery
    ISBN (Electronic)9781450363853
    DOIs
    Publication statusPublished - 2018 Jan 5
    Event12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018 - Langkawi, Malaysia
    Duration: 2018 Jan 52018 Jan 7

    Publication series

    NameACM International Conference Proceeding Series

    Other

    Other12th International Conference on Ubiquitous Information Management and Communication, IMCOM 2018
    Country/TerritoryMalaysia
    CityLangkawi
    Period18/1/518/1/7

    Bibliographical note

    Funding Information:
    This work was supported by Business for Cooperative R&D between Industry, Academy, and Research Institute funded by Korea Small and Medium Business Administration (Grants No. CH465913) in 2017 and Inst. for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No. R0190-16-2012, High Performance Big Data Analytics Platform Performance Acceleration Technologies Development).

    Publisher Copyright:
    © 2018 ACM.

    Keywords

    • Makeup support
    • Personal color
    • Personal color analysis
    • Virtual makeup

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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