Knowledge Commons of Institute of Automation,CAS
Age Estimation via Selecting Discriminated Features and Preserving Geometry | |
Tian, Qing1,2,3; Sun, Heyang1; Ma, Chuang1; Cao, Meng1; Chu, Yi1 | |
发表期刊 | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS |
ISSN | 1976-7277 |
2020-04-30 | |
卷号 | 14期号:4页码:1721-1737 |
摘要 | Human apparent age estimation has become a popular research topic and attracted great attention in recent years due to its wide applications, such as personal security and law enforcement. To achieve the goal of age estimation, a large number of methods have been pro-posed, where the models derived through the cumulative attribute coding achieve promised performance by preserving the neighbor-similarity of ages. However, these methods afore-mentioned ignore the geometric structure of extracted facial features. Indeed, the geometric structure of data greatly affects the accuracy of prediction. To this end, we propose an age estimation algorithm through joint feature selection and manifold learning paradigms, so-called Feature-selected and Geometry-preserved Least Square Regression (FGLSR). Based on this, our proposed method, compared with the others, not only preserves the geometry structures within facial representations, but also selects the discriminative features. Moreover, a deep learning extension based FGLSR is proposed later, namely Feature selected and Geometry preserved Neural Network (FGNN). Finally, related experiments are conducted on Morph2 and FG-Net datasets for FGLSR and on Morph2 datasets for FGNN. Experimental results testify our method achieve the best performances. |
关键词 | Age Estimation Least Square Regression Cumulative Attribute Coding Feature Selection Manifold Learning |
DOI | 10.3837/tiis.2020.04.017 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61702273] ; Natural Science Foundation of Jiangsu Province[BK20170956] ; Natural Science Foundation of the Jiangsu Higher Education Institutions of China[17KJB520022] ; Fundamental Research Funds for the Central Universities[NJ2019010] ; Priority Academic Program Development of Jiangsu Higher Education Institutions ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) fund ; Open Projects Program of National Laboratory of Pattern Recognition[202000007] |
项目资助者 | National Natural Science Foundation of China ; Natural Science Foundation of Jiangsu Province ; Natural Science Foundation of the Jiangsu Higher Education Institutions of China ; Fundamental Research Funds for the Central Universities ; Priority Academic Program Development of Jiangsu Higher Education Institutions ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) fund ; Open Projects Program of National Laboratory of Pattern Recognition |
WOS研究方向 | Computer Science ; Telecommunications |
WOS类目 | Computer Science, Information Systems ; Telecommunications |
WOS记录号 | WOS:000530882000015 |
出版者 | KSII-KOR SOC INTERNET INFORMATION |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/39479 |
专题 | 个人空间 |
通讯作者 | Tian, Qing |
作者单位 | 1.Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Atmospher Environm & Equip, Nanjing 210044, Peoples R China 3.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Tian, Qing,Sun, Heyang,Ma, Chuang,et al. Age Estimation via Selecting Discriminated Features and Preserving Geometry[J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS,2020,14(4):1721-1737. |
APA | Tian, Qing,Sun, Heyang,Ma, Chuang,Cao, Meng,&Chu, Yi.(2020).Age Estimation via Selecting Discriminated Features and Preserving Geometry.KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS,14(4),1721-1737. |
MLA | Tian, Qing,et al."Age Estimation via Selecting Discriminated Features and Preserving Geometry".KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS 14.4(2020):1721-1737. |
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