排名框架下的个人年龄估计

Yong Ma, T. Xiong, Y. Zou, Kongqiao Wang
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引用次数: 18

摘要

与传统的分类或回归框架下的年龄估计方法不同,本文提出了一种基于排序框架下的个体年龄估计方法。其基本思想是将衰老过程看作一个个人年龄排序的图像序列,并从该序列中提取相关信息。未知人脸图像的年龄估计,首先利用人脸识别在模板集中找到与未见人脸相似的人,然后估计未见人脸在相应的人脸图像序列中的排名顺序,最后将排名顺序映射和融合到其真实年龄。在此框架下,我们提出的系统不仅可以自然地估计出对人脸的正确年龄顺序,而且可以准确地估计出真实年龄。本文提出的方法无论是作为年龄排序还是作为准确的年龄估计,在对比实验中都表现出令人鼓舞的效果,实验也证明了上述假设的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Person-specific age estimation under ranking framework
Different from traditional age estimation methods under classification or regression frameworks, this paper proposes a novel person-specific age estimation method under ranking framework. The basic idea is to consider the aging process as a personal age-ranked image sequences and extract the relevant information from this sequences. The estimation of age for an unknown face image is determined by first utilizing face recognition to find the persons in template sets who looks similar to the unseen person, then estimating the ranking order of the unseen person in corresponding person-specific image sequences, lastly mapping and fusing the rank order to its real age. Under this framework, our proposed system not only can estimate the correct the age orders of pairs of faces naturally but also can estimate the real age accurately. The proposed method has shown encouraging performance in the comparative experiments either as an age ranker or as an accurate age estimator and the experiment also proved the validity of the above assumption.
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