Prototyping and Transforming Facial Textures for Perception Research
IEEE Computer Graphics and Applications
Toward Automatic Simulation of Aging Effects on Face Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Cloning and Aging in a VR Family
VR '99 Proceedings of the IEEE Virtual Reality
A statistical model for synthesis of detailed facial geometry
ACM SIGGRAPH 2006 Papers
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Modeling Age Progression in Young Faces
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
A person-specific, rigorous aging model of the human face
Pattern Recognition Letters
Face Hallucination: Theory and Practice
International Journal of Computer Vision
Comparative evaluation of automatic age-progression methodologies
EURASIP Journal on Advances in Signal Processing
A Compositional and Dynamic Model for Face Aging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Age-Invariant Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Age transformation for improving face recognition performance
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Age Synthesis and Estimation via Faces: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
IEEE Transactions on Signal Processing
M-Face: An Appearance-Based Photorealistic Model for Multiple Facial Attributes Rendering
IEEE Transactions on Circuits and Systems for Video Technology
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Face aging simulation is a very complex and challenging task and interests many researchers in the fields of psychology, computer graphics and computer vision due to its widely applications. In this paper, we propose a multi-layer coarse-to-fine face representation and aging simulation and animation algorithm. In the coarse layer, we build a global statistical appearance model for representation and faces are aged based on the learned age trajectory in the appearance space. In the mid layer, we learned a set of age specific coupled dictionaries and the faces are represented and aged via the sparse representation on the learned dictionary. At the fine layer, we sample a lot of patches of facial components and skin zones from images of each age group and use them as the dictionaries to simulate the aging effects of the facial components and wrinkles. We collect a database of 10, 050 Chinese passport-type images with different ages for the learning and aging simulation. Experimental results demonstrate the effectiveness of the proposed method.