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Age estimation based on improved discriminative Gaussian process latent variable model
Cai, Lijun; Huang, Lei; Liu, Changping
2016-10-01
发表期刊MULTIMEDIA TOOLS AND APPLICATIONS
卷号75期号:19页码:11977-11994
文章类型Article
摘要Affected by various factors (genes, living habits and so on), different people present distinct aging patterns. To discover the underlying trend of aging patterns, we propose an effective age estimation method based on DGPLVM (Discriminative Gaussian Process Latent Variable Model). DGPLVM is a kind of discriminative latent variable method for manifold learning. It discovers the low-dimensional manifold by employing a discriminative prior distribution over the latent space. DGPLVM with KFDA (Kernel Fisher Discriminant Analysis) prior has been studied and successfully applied to face verification. Different with face verification which is a two-class problem, age estimation is a linearly inseparable multi-class problem. In this paper, DGPLVM with KFDA is reformulated to get the low-dimensional representations for age estimation. After low-dimensional representations are obtained, Gaussian process regression model is adopted to find the age regressor mapping low-dimensional representations to ages. Experimental results on two widely used databases FG-NET and MORPH show that reformulated DGPLVM with KFDA is a good application in age estimation and achieves comparable results to state-of-the arts.
关键词Age Estimation Discriminative Gaussian Process Latent Variable Model Kernel Fisher Discriminant Analysis Gaussian Process Regression
WOS标题词Science & Technology ; Technology
DOI10.1007/s11042-015-2668-4
关键词[WOS]REGRESSION ; FEATURES ; MANIFOLD
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号WOS:000382678200022
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/11586
专题投资企业
作者单位Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
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GB/T 7714
Cai, Lijun,Huang, Lei,Liu, Changping. Age estimation based on improved discriminative Gaussian process latent variable model[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2016,75(19):11977-11994.
APA Cai, Lijun,Huang, Lei,&Liu, Changping.(2016).Age estimation based on improved discriminative Gaussian process latent variable model.MULTIMEDIA TOOLS AND APPLICATIONS,75(19),11977-11994.
MLA Cai, Lijun,et al."Age estimation based on improved discriminative Gaussian process latent variable model".MULTIMEDIA TOOLS AND APPLICATIONS 75.19(2016):11977-11994.
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