%0 Conference Paper
%B 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
%D 2010
%T The role of geometry in age estimation
%A Turaga,P.
%A Biswas,S.
%A Chellapa, Rama
%K age estimation
%K Aging
%K Biometrics
%K computational geometry
%K Face
%K Face Geometry
%K Facial animation
%K Feature extraction
%K function estimation problem
%K geometric face attributes
%K Geometry
%K Grassmann manifold
%K human face modeling
%K human face understanding
%K HUMANS
%K Mouth
%K regression
%K Regression analysis
%K SHAPE
%K Solid modeling
%K solid modelling
%K velocity vector
%X Understanding and modeling of aging in human faces is an important problem in many real-world applications such as biometrics, authentication, and synthesis. In this paper, we consider the role of geometric attributes of faces, as described by a set of landmark points on the face, in age perception. Towards this end, we show that the space of landmarks can be interpreted as a Grassmann manifold. Then the problem of age estimation is posed as a problem of function estimation on the manifold. The warping of an average face to a given face is quantified as a velocity vector that transforms the average to a given face along a smooth geodesic in unit-time. This deformation is then shown to contain important information about the age of the face. We show in experiments that exploiting geometric cues in a principled manner provides comparable performance to several systems that utilize both geometric and textural cues. We show results on age estimation using the standard FG-Net dataset and a passport dataset which illustrate the effectiveness of the approach.
%B 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP)
%I IEEE
%P 946 - 949
%8 2010/03/14/19
%@ 978-1-4244-4295-9
%G eng
%R 10.1109/ICASSP.2010.5495292