Age-Invariant Face Verification Based on Local Classifier Ensemble

作者：Mao, Xiao-Jiao^*; Yang, Yu-Bin; Li, Ning; Zhang, Yao

来源：21st International Conference on Pattern Recognition (ICPR), Univ Tsukuba, Tsukuba, JAPAN, 2012-11-11 To 2012-11-15.

• Active Shape Models
• Bayesian frameworks
• Ensemble classifiers
• Face Verification
• Human faces
• Local classifier
• Reference points
• Robust performance
• Sub-patches

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.

• 出版日期2012
• 单位计算机软件新技术国家重点实验室; 南京大学