A NOVEL TECHNIQUE FOR ENHANCING THE FACE RECOGNITION AND AGE PROGRESSION

This thesis aims to develop a human face detection and age progression from face images that leverages the average of thousands of faces of the same age and gender, then calculates the visual changes between groups as they age to apply those changes to a new person's face.