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
Human Age Estimation by Metric Learning for Regression Problems
EMMCVPR '09 Proceedings of the 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition
Web image mining towards universal age estimator
MM '09 Proceedings of the 17th ACM international conference on Multimedia
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A survey of the effects of aging on biometric identity verification
International Journal of Biometrics
Metric Learning for Regression Problems and Human Age Estimation
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Bayesian age estimation on face images
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Generalized multi-ethnic face age-estimation
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
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
Learning local features for age estimation on real-life faces
Proceedings of the 1st ACM international workshop on Multimodal pervasive video analysis
Seeing people in social context: recognizing people and social relationships
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Gait-based human age estimation
IEEE Transactions on Information Forensics and Security
Person-specific age estimation under ranking framework
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Ensemble of global and local features for face age estimation
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Kinship verification from facial images under uncontrolled conditions
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Learning gabor features for facial age estimation
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Age estimation using bayesian process
PAKDD'11 Proceedings of the 15th international conference on New Frontiers in Applied Data Mining
A methodological framework for investigating age factors on the performance of biometric systems
Proceedings of the on Multimedia and security
A smile can reveal your age: enabling facial dynamics in age estimation
Proceedings of the 20th ACM international conference on Multimedia
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
Personal and Ubiquitous Computing
Human age estimation using ranking SVM
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Relative forest for attribute prediction
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
Inductive manifold learning using structured support vector machine
Pattern Recognition
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Estimating human age automatically via facial image analysis has lots of potential real-world applications, such as human computer interaction and multimedia communication. However, it is still a challenging problem for the existing computer vision systems to automatically and effectively estimate human ages. The aging process is determined by not only the person's gene, but also many external factors, such as health, living style, living location, and weather conditions. Males and females may also age differently. The current age estimation performance is still not good enough for practical use and more effort has to be put into this research direction. In this paper, we introduce the age manifold learning scheme for extracting face aging features and design a locally adjusted robust regressor for learning and prediction of human ages. The novel approach improves the age estimation accuracy significantly over all previous methods. The merit of the proposed approaches for image-based age estimation is shown by extensive experiments on a large internal age database and the public available FG-NET database.