ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
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
Bayesian age estimation on face images
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Face verification across age progression using discriminative methods
IEEE Transactions on Information Forensics and Security
Estimating aging pattern by aging increment distribution for re-rendering of facial age effects
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Age transformation for improving face recognition performance
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Face image retrieval across age variation using relevance feedback
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Speaker verification in score-ageing-quality classification space
Computer Speech and Language
Local descriptors in application to the aging problem in face recognition
Pattern Recognition
Age-Invariant face recognition using shape transformation
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories
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In this paper, an automatic age simulation method used for robust face recognition is proposed. We first use a shape and texture vectors to represent a facial image by projecting it in the eigenspace of shape or texture. Then we use age function combined with aging way classification to estimate age. And we use estimated age, typical vector creating function and the feature vector of the original test image to generate the synthesized feature vectors at target age. At last we reconstruct the shape and texture in eigenspaces and combine them to synthesize facial image at target age. Experiments show that the proposed method can effectively "change the age of face images, and help to get face recognition result robust to age variation.