The nature of statistical learning theory
The nature of statistical learning theory
Age classification from facial images
Computer Vision and Image Understanding
The FERET Evaluation Methodology for Face-Recognition Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Toward Automatic Simulation of Aging Effects on Face Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
An efficient boosting algorithm for combining preferences
The Journal of Machine Learning Research
Robust Real-Time Face Detection
International Journal of Computer Vision
Face Verification across Age Progression
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
SVM selective sampling for ranking with application to data retrieval
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Learning from facial aging patterns for automatic age estimation
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Facial age estimation by nonlinear aging pattern subspace
MM '08 Proceedings of the 16th ACM international conference on Multimedia
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 tangent shape model: Estimating shape and pose parameters via bayesian inference
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Comparing different classifiers for automatic age estimation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Face Recognition Algorithms Surpass Humans Matching Faces Over Changes in Illumination
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression
IEEE Transactions on Image Processing
A New Method for Age Estimation from Facial Images by Hierarchical Model
Proceedings of the Second International Conference on Innovative Computing and Cloud Computing
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Different from traditional age estimation methods under classification or regression frameworks, this paper proposes a novel person-specific age estimation method under ranking framework. The basic idea is to consider the aging process as a personal age-ranked image sequences and extract the relevant information from this sequences. The estimation of age for an unknown face image is determined by first utilizing face recognition to find the persons in template sets who looks similar to the unseen person, then estimating the ranking order of the unseen person in corresponding person-specific image sequences, lastly mapping and fusing the rank order to its real age. Under this framework, our proposed system not only can estimate the correct the age orders of pairs of faces naturally but also can estimate the real age accurately. The proposed method has shown encouraging performance in the comparative experiments either as an age ranker or as an accurate age estimator and the experiment also proved the validity of the above assumption.