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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Age Estimation Based on AAM and 2D-DCT Features of Facial Images
Digital Object Identifier (DOI) : 10.14569/IJACSA.2015.060217
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 2, 2015.
Abstract: This paper proposes a novel age estimation method - Global and Local feAture based Age estiMation (GLAAM) - relying on global and local features of facial images. Global features are obtained with Active Appearance Models (AAM). Local features are extracted with regional 2D-DCT (2- dimensional Discrete Cosine Transform) of normalized facial images. GLAAM consists of the following modules: face normalization, global feature extraction with AAM, local feature extraction with 2D-DCT, dimensionality reduction by means of Principal Component Analysis (PCA) and age estimation with multiple linear regression. Experiments have shown that GLAAM outperforms many methods previously applied to the FG-NET database.
Keywords: 2D-DCT; AAM; Age estimation; PCA; Regression
Asuman Günay and Vasif V. Nabiyev, “Age Estimation Based on AAM and 2D-DCT Features of Facial Images” International Journal of Advanced Computer Science and Applications(IJACSA), 6(2), 2015. http://dx.doi.org/10.14569/IJACSA.2015.060217
@article{Günay2015,
title = {Age Estimation Based on AAM and 2D-DCT Features of Facial Images},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.060217},
url = {http://dx.doi.org/10.14569/IJACSA.2015.060217},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {2},
author = {Asuman Günay and Vasif V. Nabiyev}
}
