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

Kazuya Ueki*, Teruhide Hayashida, Tetsunori Kobayashi

*この研究の対応する著者

研究成果: Conference contribution

72 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルFGR 2006
ホスト出版物のサブタイトルProceedings of the 7th International Conference on Automatic Face and Gesture Recognition
ページ43-48
ページ数6
DOI
出版ステータスPublished - 2006 11月 14
イベントFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
継続期間: 2006 4月 102006 4月 12

出版物シリーズ

名前FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
2006

Conference

ConferenceFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition
国/地域United Kingdom
CitySouthampton
Period06/4/1006/4/12

ASJC Scopus subject areas

  • 工学(全般)

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