earticle

영어

The Faces have many informations which represent race, age, sex, personality, feeling,
emotion, psychology, a mental state, a healthy condition, etc. If we pay attention to the age
change are remarkable feature such as eyelid’s droop, cheek’s droop, forehead’s furrow,
falling-out hair, becoming gray hair etc.
This paper propose that, we extract these characteristic component from the facial image
and then assume the age, the method of facial image synthesis to varied age. Feature
components are obtined by dividing face shape and face color and then doing the principle
component analysis to them. We assume the age of facial image by comparing the extracted
feature component to facial image and obtaining age varied synthesis image by adding and
subtracting feature component to the facial image. As the simulation result, we have obtained
the age varied facial image of high quality.
Using this system to analyze the makeup before and after the age of information been
made for the makeup exactly what will be used as a means of verification.