Modified Hidden Factor Analysis for Cross-Age Face Recognition

Cross-age face recognition has remained a popular research topic because the sophisticated facial change across age disables regular face recognition systems. Widely applied in age-related tasks, the hidden factor analysis (HFA) model decomposes face feature into independent age and identity factors...

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Veröffentlicht in:	IEEE signal processing letters 2017-04, Vol.24 (4), p.465-469
Hauptverfasser:	Li, Haoxi, Zou, Haoshan, Hu, Haifeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Aging Analytical models Cross-age face recognition Estimation Face Face recognition hidden factor analysis (HFA) modified hidden factor analysis (MHFA) Probabilistic logic Probes
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