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)
A novel robust technique for the off-line signature verification problem in practical real conditions is presented. The technique is based on the use of compression neural networks, and in the automatic generation of the training set from only one signature for each writer. Our proposal also incorporates a new kind of acceptance/rejection rule, which is(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)
The purpose of the present study was to examine the relationship between parental factors and bulimia nervosa. Subjects were female undergraduate students (classified as bulimic, subclinical bulimic, or normal) and their parents. Daughters and their parents were administered a questionnaire which assesses attitudes about being overweight, radical dieting,(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)