Abstract—Lack of sufficient and complete training data is

one of the most prominent challenges in the problem of facial

age estimation. Due to appearance similarity of the faces at

close ages, the face images at the neighboring ages may be

utilized while learning a particular age. As a result, the training

images for each age are boosted without actually increase the

total number of training images.