Exemplar-based Age Progression Prediction in Children Faces
Exemplar-based Age Progression Prediction in Children Faces
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DOI：
10.1109/ism.2011.28
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发表时间：
2011-12
期刊：
影响因子：
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通讯作者：
C. Shen;Wan-Hua Lu;S. Shih;H. Liao
中科院分区：
文献类型：
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作者：
C. Shen;Wan-Hua Lu;S. Shih;H. Liao
这项工作的目的是开发一个系统，用于预测儿童面部的年龄进展。儿童人脸的年龄进程预测是帮助寻找失踪儿童的关键。本文设计了一个包括特征提取、距离测量和人脸合成的完整模块来预测不同年龄段的人脸。在所提出的方法中，曲率加权加弯曲能量距离用于从老化数据库中选择相似的面部组件。每个面部组件的生长曲线用于预测不同年龄时每个组件的形状，大小和位置。薄板样条方法被用来合成一个三维人脸模型从预测组件，通过最小化弯曲能量。实验结果表明，该方法具有很好的应用前景。
This work aims to develop a system for predicting age progression in children faces. Age progression prediction in children faces is critical to assist missing children searching. An integral module including feature extraction, distance measurement, and face synthesis is devised in this paper to predict faces at different ages. In the proposed method, a curvature-weighted plus bending-energy distance is employed for selecting 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. Thin plate spline method is employed to synthesize a 3-D 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 is very promising.