Automatic Interpretation and Coding of Face Images Using Flexible Models
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
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
A new approach for face recognition by sketches in photos
Signal Processing
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
A comparative study of facial appearance modeling methods for active appearance models
Pattern Recognition Letters
Comparison of synthetic face aging to age progression by forensic sketch artist
VIIP '07 The Seventh IASTED International Conference on Visualization, Imaging and Image Processing
Improvements in active appearance model based synthetic age progression for adult aging
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Generalized multi-ethnic face age-estimation
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Periocular biometrics in the visible spectrum: a feasibility study
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
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
A review of active appearance models
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Real-time combined 2D+3D active appearance models
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Bayesian Tensor Approach for 3-D Face Modeling
IEEE Transactions on Circuits and Systems for Video Technology
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Active appearance models (AAM), a group of flexible deformable models, have been widely used in various applications such as, object tracking, medical image segmentation and synthesis. AAMs are statistical models which model the shape and texture of an object. There has been much published work in this field to improve the speed and fitting accuracy. However, there has not been any significant study related to the quantity and selection of annotation points (landmarks) used to define the object and its texture. This paper proposes four different annotation schemes used for modeling the human face and evaluates each scheme in regard to reconstructing face images. In pursuit of choosing a particular annotation scheme for age progression and synthesis, this paper presents qualitative and quantitative methods for evaluation.