On the Use of SIFT Features for Face Authentication

Authors:
Manuele Bicego;Andrea Lagorio;Enrico Grosso;Massimo Tistarelli
Affiliations:
University of Sassari, Italy;University of Sassari, Italy;University of Sassari, Italy;University of Sassari, Italy
Venue:
CVPRW '06 Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop
Year:
2006

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Abstract

Several pattern recognition and classification techniques have been applied to the biometrics domain. Among them, an interesting technique is the Scale Invariant Feature Transform (SIFT), originally devised for object recognition. Even if SIFT features have emerged as a very powerful image descriptors, their employment in face analysis context has never been systematically investigated. This paper investigates the application of the SIFT approach in the context of face authentication. In order to determine the real potential and applicability of the method, different matching schemes are proposed and tested using the BANCA database and protocol, showing promising results.