Saori Toyota, Izumi Fujiwara, and Misa Hirose
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan
Nobutoshi Ojima
Global R&D Beauty Creation, Kao Corporation, Tokyo, Japan
Keiko Ogawa-Ochiai
Clinic of Japanese-Oriental (Kampo) Medicine, Department of Otorhinolaryngology & Head and Neck Surgery,
Kanazawa University Hospital Kanazawa, Japan
Norimichi Tsumura
Graduate School of Advanced Integration Science, Chiba University, Chiba, Japan
Journal of Imaging Science and Technology R 58(2): 020503-1020503-11,
2014.
Abstract
In this article, principal component analysis is applied to pigmentation
distribution in the whole face to obtain feature values, and the relationship
between the obtained feature vectors and age is estimated by multiple regression
analysis to simulate the changes of facial images in women of ages 10 to
80. Since the human face receives more attention than other body parts,
a change of a small quantity of the features in a face makes a large difference
to its appearance. We can divide the features into two categories. One
category is physical features such as skin condition and shape, and the
other is physiological features, which are influenced by age and health.
In the beauty industry, the synthesis of skin texture is based on these
two kinds of feature values. Previous works have analyzed only small areas
of skin texture. By morphing the shapes of facial images to that of an
average face and extending the analyzed area to the whole face, the authors’
method can analyze pigmentation distributions in the whole face and simulate
the appearance of a face as a function of changing the person’s age. c
2014
[Reprint]