Subspace-based age-group classification using facial images under various lighting conditions

Kazuya Ueki, Teruhide Hayashida, Tetsunori Kobayashi

    研究成果: Conference contribution

    55 引用 (Scopus)

    抜粋

    This paper presents a framework of age-group classification using facial images under various lighting conditions. Our method is based on the appearance-based approach that projects images from the original image space into a face-subspace. We propose a two-phased approach (2DLDA+LDA), which is based on 2DPCA and LDA. Our experimental results show that the new 2DLDA+LDA-based approach improves classification accuracy more than the conventional PCA-based and LDA-based approach. Moreover, the effectiveness of eliminating dimensions that do not contain important discriminative information is confirmed. The accuracy rates are 46.3%, 67.8% and 78.1% for age-groups that are in the 5-year, 10-year and 15-year range respectively.

    元の言語English
    ホスト出版物のタイトルFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
    ページ43-48
    ページ数6
    2006
    DOI
    出版物ステータスPublished - 2006
    イベントFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton
    継続期間: 2006 4 102006 4 12

    Other

    OtherFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
    Southampton
    期間06/4/1006/4/12

      フィンガープリント

    ASJC Scopus subject areas

    • Engineering(all)

    これを引用

    Ueki, K., Hayashida, T., & Kobayashi, T. (2006). Subspace-based age-group classification using facial images under various lighting conditions. : FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (巻 2006, pp. 43-48). [1612995] https://doi.org/10.1109/FGR.2006.102