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

Kazuya Ueki*, Teruhide Hayashida, Tetsunori Kobayashi

*Corresponding author for this work

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

73 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
Subtitle of host publicationProceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Pages43-48
Number of pages6
DOIs
Publication statusPublished - 2006 Nov 14
EventFGR 2006: 7th International Conference on Automatic Face and Gesture Recognition - Southampton, United Kingdom
Duration: 2006 Apr 102006 Apr 12

Publication series

NameFGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Volume2006

Conference

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

ASJC Scopus subject areas

  • Engineering(all)

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