Automatic Age Estimation Based on Facial Aging Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparative evaluation of automatic age-progression methodologies
EURASIP Journal on Advances in Signal Processing
Computational methods for modeling facial aging: A survey
Journal of Visual Languages and Computing
Sparse reconstruction by separable approximation
IEEE Transactions on Signal Processing
A survey of the effects of aging on biometric identity verification
International Journal of Biometrics
Face verification across age progression using discriminative methods
IEEE Transactions on Information Forensics and Security
Age transformation for improving face recognition performance
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
How would you look as you age ?
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Age regression from faces using random forests
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Piecewise linear aging function for facial age estimation
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Inter-image outliers and their application to image classification
Pattern Recognition
Fast image recovery using variable splitting and constrained optimization
IEEE Transactions on Image Processing
Age estimation of facial images based on an improved non-negative matrix factorization algorithms
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Face aging by sparse representation
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
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
Adult face recognition in score-age-quality classification space
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
A multi-layer model for face aging simulation
Transactions on edutainment VI
Age estimation using bayesian process
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
Kinship verification through transfer learning
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Evolution-enhanced multiscale overcomplete dictionaries learning for image denoising
Engineering Applications of Artificial Intelligence
Face verification of age separated images under the influence of internal and external factors
Image and Vision Computing
Age invariant face verification with relative craniofacial growth model
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
Dictionary learning and similarity regularization based image noise reduction
Journal of Visual Communication and Image Representation
Age classification based on back-propagation network
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Hi-index | 0.00 |
We propose a craniofacial growth model that characterizes growth related shape variations observed in human faces during formative years. The model draws inspiration from the 'revised' cardioidal strain transformation model proposed in psychophysical studies related to craniofacial growth. The model takes into account anthropometric evidences collected on facial growth and hence is in accordance with the observed growth patterns in human faces across years. We characterize facial growth by means of growth parameters defined over facial landmarks often used in anthropometric studies. We illustrate how the age-based anthropometric constraints on facial proportions translate into linear and non-linear constraints on facial growth parameters and propose methods to compute the optimal growth parameters. The proposed craniofacial growth model can be used to predict one's appearance across years and to perform face recognition across age progression. This is demonstrated on a database of age separated face images of individuals under 18 years of age.