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Research Article | Open Access |

Age Estimation Based on AAM and 2D-DCT Features of Facial Images

Author 1: Asuman Günay Author 2: Vasif V. Nabiyev
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 2 · Published 2015 · Cited by 15

DOI: https://doi.org/10.14569/IJACSA.2015.060217

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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

How to Cite this Article

Günay, A., & Nabiyev, V. V. (2015). Age Estimation Based on AAM and 2D-DCT Features of Facial Images. International Journal of Advanced Computer Science and Applications, 6(2). https://doi.org/10.14569/IJACSA.2015.060217

Günay, Asuman, and Vasif V. Nabiyev. "Age Estimation Based on AAM and 2D-DCT Features of Facial Images." International Journal of Advanced Computer Science and Applications, vol. 6, no. 2, 2015, https://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},
  volume    = {6},
  number    = {2},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Asuman Günay and Vasif V. Nabiyev},
  doi       = {10.14569/IJACSA.2015.060217},
  url       = {https://doi.org/10.14569/IJACSA.2015.060217}
}

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