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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Choon-Ching Ng Moi Hoon Yap Costen, N. Baihua Li |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Comput. Sci., Loughborough Univ., Loughborough, UK (Baihua Li) || Sch. of Comput., Math. & Digital Technol., Manchester Metropolitan Univ., Manchester, UK (Choon-Ching Ng; Moi Hoon Yap; Costen, N.) |
| Abstract | The majority of current facial age estimation methods are based on appearance based features. However, wrinkle based research has not been widely addressed. In this paper, we propose a novel method based on multi-scale aging patterns (MAP). These directly extract the features from local patches without extensive geometric modelling. First, we locate facial landmarks by using the Face++ detector and then normalize the face by using a linear transformation. We define a face template which consists of ten predefined wrinkle regions. Then, for each region, we detect wrinkles and construct aging patterns by using the MAP. Finally, the age is estimated by implementing the sequential minimal optimization (SMO). The performance of the algorithms is assessed by using mean absolute error (MAE) on the benchmark database - FERET. We observe that MAP produces a lower MAE of 4.87 on FERET compared to the benchmark algorithms. Therefore, we conclude that wrinkle could be used as a feature on face age estimation. Future work would involve improvements of the algorithm by combining other descriptors such as non-wrinkle descriptor and appearance parameters. |
| Starting Page | 2418 |
| Ending Page | 2423 |
| File Size | 904516 |
| Page Count | 6 |
| File Format | |
| e-ISBN | 9781479986972 |
| DOI | 10.1109/SMC.2015.423 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-09 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Face Aging Estimation Mouth Skin Detectors Active appearance model FERET Age estimation wrinkle detection multi-scale filter sequential minimal optimization |
| Content Type | Text |
| Resource Type | Article |
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