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

Published: 01 Jan 2017, Last Modified: 30 May 2025Expert Syst. Appl. 2017EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•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.
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