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Journal of Information Science and Engineering, Vol. 30 No. 4, pp. 1131-1148 (July 2014)


3D Age Progression Prediction in Children's Faces with a Small Exemplar-Image Set*


CHENG-TA SHEN1, FAY HUANG2, WAN-HUA LU1, SHENG-WEN SHIH1 AND HONG-YUAN MARK LIAO3
1Department of Computer Science and Information Engineering
National Chi Nan University
Nantou, 545 Taiwan
2Institute of Computer Science and Information Engineering
National Ilan University
Ilan, 360 Taiwan
3Institute of Information Science
Academia Sinica
Taipei, 115 Taiwan

This work aims to develop a system for predicting age progression in childrens faces from a small exemplar-image set, which is a critical task to assist in the search for missing children. The proposed method consists of a facial component extraction module, a facial component distance measurement module, and a face synthesis module. It is developed based on the assumption that two similar facial components of two children will retain similar when they grow up. Two different distance measures, namely the learning- based Mahalanobis distance and the curvature-weighted plus bending-energy distance, are employed to select similar facial components from an aging database. The growth curve of each facial component is used to predict the shape, size, and location of each component at a different age. The thin plate spline method is applied to synthesize a 3D face model from the predicted components by minimizing the bending energy. Experiments are conducted to test the proposed method with various subjects and the results show that the proposed method yields promising results.

Keywords: age progression prediction, growth curve, face image synthesis, missing children search, metric learning

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Received April 4, 2012; accepted June 5, 2012.
Communicated by Chung-Lin Huang.
* This work was supported in part by the National Science Council, Taiwan, under Grant No. NSC 98-2221-E- 260-022-MY3 and by Ministry of Economic Affairs, Taiwan, under Grant No. 100-EC-17-A-02-S1-032.