Facial aging simulator by data-drivencomponent-based texture cloning

Daiki Kuwahara, Akinobu Maejima, Shigeo Morishima

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

    3 Citations (Scopus)

    Abstract

    Facial aging and rejuvenation simulation is a challenging topic because keeping personal characteristics in every age is difficult problem. In this demonstration, we simulate a facial aging/rejuvenating only from a single photo. Our system alters an input face image to aged face by reconstructing every facial component with face database for target age. An appropriate facial components image are selected by a special similarity measurement between current age and target age to keep personal characteristics asmuch as possible. Our systemsuccessfully generated aged/ rejuvenated faces with age-related features such as spots, wrinkles, and sagging while keeping personal characteristics throughout all ages.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    PublisherSpringer Verlag
    Pages295-298
    Number of pages4
    Volume8936
    ISBN (Print)9783319144412
    Publication statusPublished - 2015
    Event21st International Conference on MultiMedia Modeling, MMM 2015 - Sydney, Australia
    Duration: 2015 Jan 52015 Jan 7

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8936
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other21st International Conference on MultiMedia Modeling, MMM 2015
    CountryAustralia
    CitySydney
    Period15/1/515/1/7

    Keywords

    • Face image synthesis
    • Facial aging simulation
    • SeamlessTexture synthesis

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

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  • Cite this

    Kuwahara, D., Maejima, A., & Morishima, S. (2015). Facial aging simulator by data-drivencomponent-based texture cloning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8936, pp. 295-298). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8936). Springer Verlag.