一种使用CGAN的人脸图像重构下年龄估计算法

AN AGE ESTIMATION ALGORITHM FOR FACE IMAGE RECONSTRUCTION USING CGAN

提出一种基于条件生成对抗网络(Conditional Generative Adversarial Nets, CGAN)的人脸图像重构下年龄估计方法。对输入的低分辨人脸图像进行重构,再采用不同的深度学习方法进行年龄估计。实验结果证明了提出方法在图像重构与年龄估计两方面的有效性。此外,还对该方法的鲁棒性与时间复杂度进行分析。

An age estimation method based on a CGAN(Conditional Generative Adversarial Nets)under the face image reconstruction is proposed.The input low resolution face image was reconstructed,the age was estimated by different methods of deep learning.The experimental results show that the proposed method is effective in both image reconstruction and age estimation.In addition,the robustness of this method and the time complexity were analyzed.