Age Estimation of Facial Images Based on an Improved Non-negative Matrix Factorization Algorithm
基于一种改进NMF算法的人脸年龄估计方法

Automatic age estimation based on facial images is important but challenging in face recognition research. An improved NMF (Non-negative Matrix Factorization) algorithm was proposed to implement the age estimation of facial images,which employs linear discriminative analysis in the features derived from NMF,keeps down the base images that have the best discriminate ability to form a new subspace. Then,after projecting the whole training sets images to the obtained subspace,the RBF neural networks was used to extract the aging information contained in most facial images to estimate age information. Finally,experimental results demonstrate that it is an effective method.