Research on Age Estimation by Means of 2D-PCA

Si Cheng Deng; Yi Chen

doi:10.4028/www.scientific.net/AMM.687-691.3760

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Research on Age Estimation by Means of 2D-PCA

Research on Age Estimation by Means of 2D-PCA

Abstract:

Age estimation is an important method to solve the face recognition with age change, due to the feature extraction,in the process of age estimation study, PCA dimensional reduction method is usually used to reduce dimension with excessive dimension.PCA refers that transform the sample matrix into one-dimensional vector first, then the one-dimensional vectors form a matrix, solve the eigenvector. 2D-PCA applied in this paper is not required to transform the sample matrix into one-dimensional vector, but construct scatter matrix with data matrix directly, accordingly, the computing time is reduced and a good performance evaluation is achieved in the test.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3760-3764

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3760

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Online since:

November 2014

Authors:

Si Cheng Deng, Yi Chen

Keywords:

2D-PCA, Age Estimation, PCA

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References

[1] Kwon Y H，Lobo N V. Age classification from facial images[J]. Computer Vision and Image Understanding，1999，74.

Google Scholar

[2] Y. Geng, J. He, K. Pahlavan, Modeling the Effect of Human Body on TOA Based Indoor Human Tracking[J], International Journal of Wireless Information Networks 20(4), 306-317.

DOI: 10.1007/s10776-013-0227-3

Google Scholar

[3] Lanitis A On the significance of different facial parts for automatic age estimation [A]．In：Proceedings of the 14th International Conference on Digital Signal.

DOI: 10.1109/icdsp.2002.1028265

Google Scholar

[4] J. Yang, D. Zhang, A. F. Frangi, and lYang, Two-Dimensional PCA: A New Approach to Appearance Based Face Representation and Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence 26(1), 131137, (2004).

DOI: 10.1109/tpami.2004.1261097

Google Scholar

[5] Y. Geng, J. Chen, K. Pahlavan, Motion detection using RF signals for the first responder in emergency operations: A PHASER project, 2013 IEEE 24nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC), London, Britain Sep. (2013).

DOI: 10.1109/pimrc.2013.6666161

Google Scholar