University of Sassari - Computer Vision Laboratory
Abstract
Facial aging has been only partially studied in the past and mostly in a
qualitative way. This paper presents a novel approach to the estimation of facial
aging aimed to the quantitative evaluation of the changes in facial appearance
over time. In particular, the changes both in face shape and texture, due to
short-time aging, are considered. The developed framework exploits the concept
of “distinctiveness” of facial features and the temporal evolution of such measure.
The analysis is performed both at a global and local level to define the features
which are more stable over time.
Several experiments are performed on publicly available databases with image
sequences densely sampled over a time span of several years. The reported results
clearly show the potential of the methodology to a number of applications in
biometric identification from human faces