Age-invariant face verification based on Local Classifier Ensemble

Human faces undergo considerable amount of variations across ages. This paper proposes an age-invariant face verification method by using a Local Classifier Ensemble Model (LCEM). First, reference points are located based on an extended Active Shape Model and faces are aligned afterwards. Second, a face is grouped into several non-overlapping patches and each group is further divided into several overlapping sub-patches. Local classifiers are then trained for each sub-patch and integrated to build an ensemble classifier under a Semi-Naive Bayesian framework. Finally, the proposed approach is evaluated on the MORPH database and experimental results show that such local classifier ensemble achieves significant and robust performance.