A composite spatio-temporal modeling approach for age invariant face recognition

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• 作者：Fahad Bashir Alvi ; ^{falvi@aut.ac.nz} ; ^{fahadalvi@hotmail.com} ; Russel Pears ^{russel.pears@aut.ac.nz}
• 关键词：Anthropometric model ; Local model ; Personalized model ; Integrated model ; K nearest neighbor ; Decision tree ; Naive Bayes ; Adaline Neural Network
• 刊名：Expert Systems with Applications
• 出版年：2017
• 出版时间：15 April 2017
• 年：2017
• 卷：72
• 期：Complete
• 页码：383-394
• 全文大小：2381 K
• 卷排序：72

文摘

A novel method is proposed that combines both texture and shape features. Face recognition models are built at different levels of data granularity. Experimentation is based on two well-known benchmarks, FG-NET and MORPH. Proposed method outperforms state of art recognition method on rank-1 accuracy. Proposed models support the simulation of aging effects at future time points.