Contrast limited adaptive histogram equalization
Graphics gems IV
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Vision: From Images to Face Recognition
Dynamic Vision: From Images to Face Recognition
Toward Automatic Simulation of Aging Effects on Face Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Age simulation for face recognition
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Facial Expression Recognition using AAM and Local Facial Features
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 02
Automatic Age Estimation Based on Facial Aging Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Age-Invariant Face Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper proposes a novel facial image transformation that minimizes the variation due to aging in facial features. It transforms a face image of an individual according to the probe image to register the facial features. The images are globally registered using Delaunay triangulation which reduces the linear variation in individual's appearance due to aging. Finally, weighted Local Binary Patterns are used to calculate the similarity between the registered images. The proposed approach has been tested on the publicly available FG-NET database [2] and a self-created BROWNS database. It is found to be robust to aging variation to a good extent. Gain in Rank-1 accuracies of 18.36 % and 17.37 % have been achieved on FG-NET and BROWNS database respectively.