• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Hierarchical Age Estimation based on Dynamic Grouping and OHRank

Vol. 8, No. 7, July 28, 2014
10.3837/tiis.2014.07.016, Download Paper (Free):

Abstract

This paper describes a hierarchical method for image-based age estimation that combines age group classification and age value estimation. The proposed method uses a coarse-to-fine strategy with different appearance features to describe facial shape and texture. Considering the damage to continuity between neighboring groups caused by fixed divisions during age group classification, a dynamic grouping technique is employed to allow non-fixed groups. Based on the given group, an ordinal hyperplane ranking (OHRank) model is employed to transform age estimation into a series of binary enquiry problems that can take advantage of the intrinsic correlation and ordinal information of age. A set of experiments on FG-NET are presented and the results demonstrate the validity of our solution.


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Cite this article

[IEEE Style]
L. Zhang, X. Wang and Y. Liang, "Hierarchical Age Estimation based on Dynamic Grouping and OHRank," KSII Transactions on Internet and Information Systems, vol. 8, no. 7, pp. 2480-2495, 2014. DOI: 10.3837/tiis.2014.07.016.

[ACM Style]
Li Zhang, Xianmei Wang, and Yuyu Liang. 2014. Hierarchical Age Estimation based on Dynamic Grouping and OHRank. KSII Transactions on Internet and Information Systems, 8, 7, (2014), 2480-2495. DOI: 10.3837/tiis.2014.07.016.