On Combining Textural and Geometrical Scores for Discriminative Face Authentication

In this paper, a combined shape-texture approach to discriminative face authentication is studied. Facial texture information is captured through Gabor responses (jets), similarly to the Elastic Bunch Graph Matching approach, but the points where filters are applied are located over lines that sketch the face. In this way, textural information is “shape-driven” and unlike other Gabor-based approaches, it shows a person-dependent behaviour. For every pair of face images, the score obtained through jets is combined with 3 measurements of pair-wise shape distortion. Discriminative Fisher methods are applied at the shape algorithm level and at the score combination level, in order to get a unified score ready for classification. Face verification results are reported on configuration I of the XM2VTS database.