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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ramanathan, N. Chellappa, R. |
| Copyright Year | 2008 |
| Description | Author affiliation: Univ. of Maryland, College Park, MD (Ramanathan, N.; Chellappa, R.) |
| 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. |
| Sponsorship | City of Amsterdam |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 4219244 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424421534 |
| DOI | 10.1109/AFGR.2008.4813337 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-17 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Aging Deformable models Facial features Solid modeling Facial muscles Skin Statistics Image databases Spatial databases |
| Content Type | Text |
| Resource Type | Article |
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