Facial identification problem: A tracking based approach
Marco Anisetti, Valerio Bellandi, Ernesto Damiani, Fabrizio Beverina · Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) · 2005
This paper presents a method for face identification using a query by example approach.Our technique is suitable for use within Ambient Security Environments and is robust across variations in pose, expression and illuminations conditions.To account for these variations, we use a face template matching algorithm based on a 3D head model created from a single frontal face image.Thanks to our tracking-based approach our algorithm is able to extract simultaneously all parameters related to the face expression and to the 3D posture.With these estimates, we are able to reconstruct a frontal, neutral and normalized image on which dissimilarity analysis for identification and anomalies detection is performed.Our tracking process combined with dissimilarity analysis was tested on Kanade-Cohn database [13] for expression independent identification and several other experimental databases for robustness.