Ana Belén Moreno

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The discriminating power of three dimensional (3D) descriptors extracted from 3D human face surfaces is analyzed. An automatic face recognition system using different subsets of the descriptor set has been implemented and tested. We used 420 3D-facial meshes belonging to 60 individuals, including views presenting light rotations and facial expressions, for(More)
This work compares systematically two optical flow-based facial expression recognition methods. The first one is featural and selects a reduced set of highly discriminant facial points while the second one is holistic and uses much more points that are uniformly distributed on the central face region. Both approaches are referred as feature point tracking(More)
Automatic face recognition is becoming increasingly important due to the security applications derived from it. Although the face recognition problem has focused on 2D images, recently , due to the proliferation of 3D scanning hardware, 3D face recognition has become a feasible application. This 3D approach do not use the colour of the faces, so, when it is(More)
This paper presents an experimental comparison of different hybrid snake-based algorithms for automatic off-line signature verification. Snakes are usually applied to different image analysis tasks, especially to segmentation. Off-line signature verification aims to establish the degree of genuineness between one given test signature and one reference(More)
Applications related to game technology, law-enforcement, security, medicine or biometrics are becoming increasingly important, which, combined with the proliferation of three-dimensional (3D) scanning hardware, have made that 3D face recognition is now becoming a promising and feasible alternative to 2D face methods. The main advantage of 3D data, when(More)