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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jinli Suo Tianfu Wu Songchun Zhu Shiguang Shan Xilin Chen Wen Gao |
| Copyright Year | 2008 |
| Description | Author affiliation: Inst. of Digital Media, Peking Univ., Beijing (Wen Gao) || Grad. Univ. of Chinese Acad. of Sci.(CAS) (Jinli Suo) || Key Lab. of Intell. Inf. Process. of CAS, Inst. of Comput. Technol., Beijing (Shiguang Shan; Xilin Chen) || Lotus Hill Inst. for Comput. Vision & Inf. Sci. (Tianfu Wu; Songchun Zhu) |
| Abstract | A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal, this paper builds up a hierarchical graphical face model for faces appearing at low, middle and high resolution respectively. Along the hierarchy, a face image is decomposed into detailed parts from coarse to fine. Then four types of features are extracted from this graph representation guided by the priors of aging process embedded in the graphical model: topology, geometry, photometry and configuration. On age estimation, this paper follows the popular regression formulation for mapping feature vectors to its age label. The effectiveness of the presented feature set is justified by testing results on two datasets using different kinds of regression methods. The experimental results in this paper show that designing feature set for age estimation under the guidance of hierarchical face model is a promising method and a flexible framework as well. |
| Sponsorship | City of Amsterdam |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 1489466 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424421534 |
| DOI | 10.1109/AFGR.2008.4813314 |
| 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 | Aging Feature extraction Active appearance model Face detection Spatial databases Skin Hair Content addressable storage Computer vision Humans |
| Content Type | Text |
| Resource Type | Article |
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