Facial Image Prediction Using Exemplar-based Algorithm and Non-negative Matrix Factorization

Human aging face prediction is a popular research topic because of its various useful applications such as security system, missing persons search system, etc. In this study, we propose Exemplar-based Algorithm whose property considers the environment of human growth. Moreover, both the non-negative matrix factorization and linear interpolation methods are used to perform the prediction for six facial ROIs. In the proposed method, we employ the family images, in which each family member has more than one images at different ages. And we predict the image ROIs to replace the original ones to obtain the prediction result. However, it is difficult to collect the facial image ROI of families at various age, we also refer the databases from the internet. In experimental results, the correlation coefficient between the real and predicted images can reach 0.82. However, the factor such as expression and light in the reference images could result in lower correlation coefficient.