Estimating Age Value from Super-Resolution Reconstruction Facial Images

Automatic age estimation based on facial images is important but challenging in face recognition research. A Super-Resolution Reconstruction algorithm was proposed to implement the age estimation of facial images, which cut the facial image into small pieces. Then after building high resolution images by using the Super-Resolution Reconstruction algorithm, the RBF neural network was used to train and test these high resolution images. At last, the classifier ensemble with genetic algorithm was used to estimate age information. Finally, experimental results demonstrate that it is an effective method.