Estimating Human Age by Manifold Analysis of Face Pictures and Regression on Aging Features

Extensive recent studies on human faces reveal significant potential applications of automatic age estimation via face image analysis. Due to the temporal features of age progression, aging face images display sequential pattern of low-dimensional distribution. Through manifold analysis of face pictures, we developed a novel age estimation framework. The manifold learning methods are applied to find a sufficient embedding space and model the low-dimensional manifold data with a multiple linear regression function. Experimental results on a large size age database demonstrate the effectiveness of the framework. To our best knowledge, this is the first work involving the manifold ways of age estimation.

[1]  N. Zheng,et al.  M-Face: An Appearance-Based Photorealistic Model for Multiple Facial Attributes Rendering , 2006, IEEE Transactions on Circuits and Systems for Video Technology.

[2]  Timothy F. Cootes,et al.  Toward Automatic Simulation of Aging Effects on Face Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[3]  Xiaofei He,et al.  Locality Preserving Projections , 2003, NIPS.

[4]  Yu Zhang,et al.  Learning from facial aging patterns for automatic age estimation , 2006, MM '06.

[5]  Niels da Vitoria Lobo,et al.  Age classification from facial images , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[6]  C. Christodoulou,et al.  Comparing different classifiers for automatic age estimation , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[7]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[8]  Nenghai Yu,et al.  Neighborhood Preserving Projections (NPP): A Novel Linear Dimension Reduction Method , 2005, ICIC.

[9]  H. Sebastian Seung,et al.  The Manifold Ways of Perception , 2000, Science.

[10]  Jiawei Han,et al.  Orthogonal Laplacianfaces for Face Recognition , 2006, IEEE Transactions on Image Processing.

[11]  S. Weisberg Applied Linear Regression , 1981 .

[12]  Rama Chellappa,et al.  Face Verification Across Age Progression , 2006, IEEE Trans. Image Process..

[13]  Rama Chellappa,et al.  Modeling Age Progression in Young Faces , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[14]  A J O'Toole,et al.  Facial Aging, Attractiveness, and Distinctiveness , 1998, Perception.

[15]  S T Roweis,et al.  Nonlinear dimensionality reduction by locally linear embedding. , 2000, Science.