Improving face recognition with a quality-based probabilistic framework

This paper addresses the problem of developing facial image quality metrics that are predictive of the performance of existing biometric matching algorithms and incorporating the quality estimates into the recognition decision process to improve overall performance. The first task we consider is the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ozay, Necmiye, Yan Tong, Wheeler, Frederick W, Xiaoming Liu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Additive noise Biometrics Computer vision Face recognition Image quality Image recognition Prediction algorithms Probes Quality assessment Visualization
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