Method for estimating and modeling age and gender using facial image processing

Abstract

A preliminary questionnaire (enquete) examination of how effectively facial images could be used for gender and age estimations was executed by using 300 different faces and 21 examinees. Wrinkles appearing in the face and the shape and size of the facial parts are selected to model the age and gender estimation in this research based on this enquete. An image processing algorithm for wrinkle modeling is proposed. In addition, a method for making relationships between faces and their keywords is proposed by using latent semantic indexing. An efficient interface for displaying the relationships among keywords and facial images is introduced with 2D/3D-feature space defined by the indexing.