PERCEPTION OF AGE IN ADULT CAUCASIAN MALE FACES - COMPUTER GRAPHIC MANIPULATION OF SHAPE AND COLOR INFORMATION

This study investigated visual cues to age by using facial composites which blend shape and colour information from multiple faces. Baseline measurements showed that perceived age of adult male faces is on aver age an accurate index of their chronological age over the age range 20 -60 years. Composite images were made from multiple images of differen t faces by averaging face shape and then blending red, green and blue intensity (RGB colour) across comparable pixels. The perceived age of these composite or blended images depended on the age bracket of the c omponent faces. Blended faces were, however, rated younger than their component faces, a trend that became more marked with increased compon ent age. The techniques used provide an empirical definition of facial changes with age that are biologically consistent across a sample pop ulation. The perceived age of a blend of old faces was increased by ex aggerating the RGB colour differences of each pixel relative to a blen d of young faces. This effect on perceived age was not attributable to enhanced contrast or colour saturation. Age-related visual cues defin ed from the differences between blends of young and old faces were app lied to individual faces. These transformations increased perceived ag e.