Distance transforms: properties and machine vision applications
CVGIP: Graphical Models and Image Processing
Probabilistic Visual Learning for Object Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evaluation of Methods for Ridge and Valley Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape Matching and Object Recognition Using Shape Contexts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Ridges, Valleys and Hausdorff Based Similarity Measures for Face Description and Matching
PRIS '01 Proceedings of the 1st International Workshop on Pattern Recognition in Information Systems: In conjunction with ICEIS 2001
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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.