A Morphable Model to simulate rejuvenation trajectory of 3D face images: Preliminary results
Facial Aging (FA) process as a natural phenomenon has been of great interest to many researchers as well as for studies in the field of gerontology and private sector firms like airports and police departments. As opposed to previous studies which focused on predicting the facial appearance changes of the individuals, this paper details the backward aging trajectory of face images in 3 dimensional environment. This model is learned from a database of three dimensional facial images which is built by five individual age groups between 3 to 35 years old. 3D facial aging modeling is a complex process since it affects both the shape and texture of the face. We propose the Statistical Rejuvenation Model (SRM) a morphable face model to transform the given adult face to its youthful appearance by changing its shape and texture simultaneously.
2016 International Conference on Bio engineering for Smart Technologies (BioSMART)