AGE PROGRESSION USING DELAUNAY TRIANGULATION

Age is a factor which determines the changes that take place in a human body both physically and mentally. As the age increases, the features of human changes accordingly. That changes can be either for a period or entire life. Suppose the height of human, generally, increases up to a certain age of 18-21 and stopschanging later. So, age cannot be determined by the height. But few features like theelasticity of skin, hair nature, skin texture, etc., changes throughout the life. Age progression can be used extensively in several applications. Age progression can be used to show the likely current appearance of a missing person from a photograph many years old. For example, it is widely used as a forensics tool by the law enforcement. In some cases, age and appropriate face image plays a crucial role. Suppose there's a criminal committing crime beencaught when he was 20 and subjected to an imprisonment. When he was 60, he was caught again committing crimes. In this scenario if the police suspected him to be behind certain crimes in the past 40 years and wanted to verify, then they will need pictures of the criminal at 30 years of age 40 years of age and so on. This project will solve such issues by generating expected images of criminal at required age. Using the concepts of node points and triangulation, we morph the image and change the age in both the directions. The inputs to be taken are two images at different ages and output will be a video showing the transitions in age bymoving the shape and color blending sliders in the MATLAB