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

Kazuya Ueki, Teruhide Hayashida, Tetsunori Kobayashi

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

    55 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
    Pages43-48
    Number of pages6
    Volume2006
    DOIs
    Publication statusPublished - 2006
    EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton
    Duration: 2006 Apr 102006 Apr 12

    Other

    OtherFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
    CitySouthampton
    Period06/4/1006/4/12

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    ASJC Scopus subject areas

    • Engineering(all)

    Cite this

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