AAM fitting using shape parameter distribution

Youhei Shiraishi, Shinya Fujie, Tetsunori Kobayashi

    研究成果: Conference contribution

    抜粋

    A novel constraint using shape parameter distribution into the AAM fitting method is proposed. Active appearance models (AAMs) are some of the most popular facial models. AAM-based face tracking delivers accurate alignment results. However, non-face-like shapes can also be estimated by AAMs, unlike by the conventional AAM fitting method, which only minimizes the matching error of the image. This is one of the causes for face tracking performance degradation in AAMs. A constraint using the shape parameter distribution is added in order to solve this problem.

    元の言語English
    ホスト出版物のタイトルEuropean Signal Processing Conference
    ページ2238-2242
    ページ数5
    出版物ステータスPublished - 2012
    イベント20th European Signal Processing Conference, EUSIPCO 2012 - Bucharest
    継続期間: 2012 8 272012 8 31

    Other

    Other20th European Signal Processing Conference, EUSIPCO 2012
    Bucharest
    期間12/8/2712/8/31

      フィンガープリント

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering

    これを引用

    Shiraishi, Y., Fujie, S., & Kobayashi, T. (2012). AAM fitting using shape parameter distribution. : European Signal Processing Conference (pp. 2238-2242). [6334037]