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Content Provider | IEEE Xplore Digital Library |
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Author | Lin, S.D. Chien-Hsun Tu Chih-Yao Chuang Huei-Ting Lin |
Copyright Year | 2012 |
Description | Author affiliation: Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien 97401, Taiwan (Lin, S.D.; Chien-Hsun Tu; Chih-Yao Chuang; Huei-Ting Lin) |
Abstract | Recently, the techniques of face recognition have been widely used in security application such as security monitoring, and access control. However, there are still some challenges in face recognition system which the light changes, expression changes, head movements, accessory occlusion and aging effect are the main issues. For the aging effect, the shape and texture change degrades the performance of face recognition system. Therefore, there are many algorithms focusing on how to simulate the aging face image. In this paper, the modeling of face image is an important procedure for aging simulation. We propose an aging simulation scheme based on the facial muscle model. Then the estimated aging is calculated by the texture variation of a target age from subspace of age groups. Finally, the PCA is applied to face recognition system. The simulation results presented in the paper are compared with the ground truth image of the same person. Simulation results show that the proposed aging simulation scheme is able to improve performance of face recognition system. |
Starting Page | 1790 |
Ending Page | 1795 |
File Size | 1292043 |
Page Count | 6 |
File Format | |
ISBN | 9781467314848 |
ISSN | 2160133X |
e-ISBN | 9781467314879 |
DOI | 10.1109/ICMLC.2012.6359647 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-07-15 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Abstracts Computational modeling Face Deformable models Artificial intelligence Lighting PCA Aging Simulation Face Recognition |
Content Type | Text |
Resource Type | Article |
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