DocumentCode :
3134650
Title :
Modeling shape and textural variations in aging faces
Author :
Ramanathan, Narayanan ; Chellappa, Rama
Author_Institution :
Univ. of Maryland, College Park, MD
fYear :
2008
fDate :
17-19 Sept. 2008
Firstpage :
1
Lastpage :
8
Abstract :
We propose a two fold approach towards modeling facial aging in adults. Firstly, we develop a shape transformation model that is formulated as a physically-based parametric muscle model that captures the subtle deformations facial features undergo with age. The model implicitly accounts for the physical properties and geometric orientations of the individual facial muscles. Next, we develop an image gradient based texture transformation function that characterizes facial wrinkles and other skin artifacts often observed during different ages. Facial growth statistics (both in terms of shape and texture) play a crucial role in developing the aforementioned transformation models. From a database that comprises of pairs of age separated face images of many individuals, we extract age-based facial measurements across key fiducial features and further, study textural variations across ages. We present experimental results that illustrate the applications of the proposed facial aging model in tasks such as face recognition and facial appearance prediction across aging.
Keywords :
face recognition; image texture; statistical analysis; aging faces; image gradient; modeling shape; shape transformation model; textural variations; texture transformation function; Aging; Deformable models; Facial features; Facial muscles; Image databases; Shape; Skin; Solid modeling; Spatial databases; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Face & Gesture Recognition, 2008. FG '08. 8th IEEE International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-2153-4
Electronic_ISBN :
978-1-4244-2154-1
Type :
conf
DOI :
10.1109/AFGR.2008.4813337
Filename :
4813337
Link To Document :
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