Automatic Facial Age Estimation

Automatic Facial Age Estimation

Estimating human age from images is a problem that has recently gained attention from the computer vision community due to its numerous applications as well as the challenges that face a satisfactory solution. Beside traditional challenges in captured facial images under uncontrolled settings such as different lighting, varying poses and expressions, aging effects on appearance depends on many other factors such as life style. In this thesis, a new automatic age estimation framework is proposed. A single image is required as input for the subject of interest to estimate his age. The framework is composed of three main modules: 1) the core system module; 2) the enhancement module; and 3) the application module.