A multi-texture approach for estimating iris positions in the eye using 2.5D Active Appearance Models

This paper describes a new approach for the detection of the iris center. Starting from a learning base that only contains people in frontal view and looking in front of them, our model (based on 2.5D Active Appearance Models (AAM)) is capable of capturing the iris movements for both people in front...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Salam, H., Stoiber, N., Seguier, R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Active appearance model gaze detection Head Iris Iris recognition iris tracking Optimization Skin
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