Facial fattening and slimming simulation based on skull structure

Masahiro Fujisaki, Shigeo Morishima

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

    Abstract

    In this paper, we propose a novel facial fattening and slimming deformation method in 2D images that preserves the individuality of the input face by estimating the skull structure from a frontal face image and prevents unnatural deformation (e.g. penetration into the skull). Our method is composed of skull estimation, optimizing fattening and slimming rules appropriate to the estimated skull, mesh deformation to generate fattening and slimming face, and generation background image adapted to the generated face contour. Finally, we verify our method by comparison with other rules, precision of skull estimation, subjective experiment, and execution time.

    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    PublisherSpringer Verlag
    Pages137-149
    Number of pages13
    Volume9475
    ISBN (Print)9783319278629
    DOIs
    Publication statusPublished - 2015
    Event11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, United States
    Duration: 2015 Dec 142015 Dec 16

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9475
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other11th International Symposium on Advances in Visual Computing , ISVC 2015
    CountryUnited States
    CityLas Vegas
    Period15/12/1415/12/16

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    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Fujisaki, M., & Morishima, S. (2015). Facial fattening and slimming simulation based on skull structure. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9475, pp. 137-149). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9475). Springer Verlag. https://doi.org/10.1007/978-3-319-27863-6_13