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Computer Vision and Image Understanding
Automatic Interpretation and Coding of Face Images Using Flexible Models
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Toward Automatic Simulation of Aging Effects on Face Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition Using Active Appearance Models
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
A comparative study of active appearance model annotation schemes for the face
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
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
Learning gabor features for facial age estimation
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
Sensitivity analysis with cross-validation for feature selection and manifold learning
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
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Aging affects facial appearance increasingly so through the progression of years of an individual's life. Because of this, there are several human-driven and automated applications that would greatly benefit from the ability to automatically generated accurate images of the appearance of an individual after some time period of aging, particularly when current photographs of the individual are not available. Thus far, however, little progress has been achieved in generating such images beyond those created by traditional artistic methods. There are a few methods currently used to generate age-progressed facial appearances, mostly for lawenforcement applications such as missing-persons and fugitive apprehension. These methods are artistically driven by individuals trained in art, anatomy, aging, and forensic science. One of the most promising of the few recent computer-based methods for generating images of age-progression uses active-appearance models of the face trained on images of many individuals. This paper presents an initial comparison of synthetic face aging using this method with age progression drawn by a forensic artist.