Open AccessA study of the facial aging - a multidisciplinary approach
Author(s) -
Fabiana Rodrigues Leta,
Djenane Pamplona,
Hans Ingo Weber,
Aura Conci,
Ivo Pitanguy
Publication year - 2000
Publication title -
revista brasileira de ciências mecânicas
Language(s) - English
Resource type - Journals
ISSN - 0100-7386
DOI - 10.1590/s0100-73862000000300009
Subject(s) - image warping , face (sociological concept) , computer science , process (computing) , artificial intelligence , interpolation (computer graphics) , multidisciplinary approach , computer vision , machine learning , image (mathematics) , social science , sociology , operating system
This paper describes a mathematical and graphical model for face aging. It considers the possibility of predicting the aging process by offering an initial quantification of this process as it applies to the face. It is concerned with physical measurements and a general law of time dependence. After measuring and normalizing a photograph of a person, one could predict, with a known amount of error, the appearance of that person at a different age. The technique described has served its purpose successfully, with a representative amount of patient data behaving sufficiently near the general aging curve of each parameter. That model uses a warping technique to emulate the aging changes on the face of women. Frequently the warping methods are based on the interpolation between images or general mathematical functions to calculate the pixel attributes. The implemented process considers the age features of selected parts of a face such as the face outline and the shape of the lips. These age features were obtained by measuring the facial regions of women that have been photographed throughout their lives. The present work is first concerned with discussing a methodology to define the aging parameters that can be measured, and second with representing the age effects graphically