The nature of statistical learning theory
The nature of statistical learning theory
Defining and measuring aging parameters
Applied Mathematics and Computation - Special issue on dynamics and control
IEEE Transactions on Pattern Analysis and Machine Intelligence
Manipulating Facial Appearance through Shape and Color
IEEE Computer Graphics and Applications
Prototyping and Transforming Facial Textures for Perception Research
IEEE Computer Graphics and Applications
Toward Automatic Simulation of Aging Effects on Face Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cloning and Aging in a VR Family
VR '99 Proceedings of the IEEE Virtual Reality
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
A person-specific, rigorous aging model of the human face
Pattern Recognition Letters
Automatic Age Estimation Based on Facial Aging Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing different classifiers for automatic age estimation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Face Verification Across Age Progression
IEEE Transactions on Image Processing
A survey of the effects of aging on biometric identity verification
International Journal of Biometrics
Age estimation using active appearance models and support vector machine regression
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Face verification across age progression using discriminative methods
IEEE Transactions on Information Forensics and Security
Gait-based human age estimation
IEEE Transactions on Information Forensics and Security
A multi-layer model for face aging simulation
Transactions on edutainment VI
One-to-many neural network mapping techniques for face image synthesis
Expert Systems with Applications: An International Journal
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Automatic age-progression is the process of modifying an image showing the face of a person in order to predict his/her future facial appearance. In this paper, we compare the performance of two age-progression methodologies reported in the literature against two novel approaches to the problem. In particular, we compare the performance of a method based on age prototypes, a method based on aging functions defined in a low-dimensional parametric model space, and two methods based on the distributions of samples belonging to different individuals and different age groups. Quantitative comparative results reported in the paper are based on dedicated performance evaluation metrics that assess the ability of each method to produce accurate predictions of the future/previous facial appearance of subjects. The framework proposed in this paper promotes the idea of a standardized performance evaluation protocol for age-progression methodologies, using images from a publicly available image database.