Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06) Subspace-based Age-group Classification Using Facial Images under Various Lighting Conditions University of Southampton,UK April 10-April 12 ISBN: 0-7695-2503-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FGR.2006.102
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 agegroups that are in the 5-year, 10-year and 15-year range respectively.
Citation:
Kazuya Ueki, Teruhide Hayashida, Tetsunori Kobayashi, "Subspace-based Age-group Classification Using Facial Images under Various Lighting Conditions," fg, pp.43-48, Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FG'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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