Computational methods for modeling facial aging: A survey
Journal of Visual Languages and Computing
Face Age Classification on Consumer Images with Gabor Feature and Fuzzy LDA Method
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Web image mining towards universal age estimator
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Application of Kekre's fast code book generation algorithm for face recognition
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Face verification across age progression using discriminative methods
IEEE Transactions on Information Forensics and Security
Efficient face recognition using tensor subspace regression
Neurocomputing
Age classification for pose variant and occluded faces
Proceedings of the international conference on Multimedia
Learning local features for age estimation on real-life faces
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Gait-based human age estimation
IEEE Transactions on Information Forensics and Security
Face verification with aging using AdaBoost and local binary patterns
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Active learning with the furthest nearest neighbor criterion for facial age estimation
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Learning gabor features for facial age estimation
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing
Age estimation using bayesian process
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Image and Vision Computing
Human age estimation using ranking SVM
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
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Recently, extensive studies on human faces in the human-computer interaction (HCI) field reveal significant potentials for designing automatic age estimation systems via face image analysis. The success of such research may bring in many innovative HCI tools used for the applications of human-centered multimedia communication. Due to the temporal property of age progression, face images with aging features may display some sequential patterns with low-dimensional distributions. In this paper, we demonstrate that such aging patterns can be effectively extracted from a discriminant subspace learning algorithm and visualized as distinct manifold structures. Through the manifold method of analysis on face images, the dimensionality redundancy of the original image space can be significantly reduced with subspace learning. A multiple linear regression procedure, especially with a quadratic model function, can be facilitated by the low dimensionality to represent the manifold space embodying the discriminative property. Such a processing has been evaluated by extensive simulations and compared with the state-of-the-art methods. Experimental results on a large size aging database demonstrate the effectiveness and robustness of our proposed framework.