INVESTIGADORES
MILONE Diego Humberto
congresos y reuniones científicas
Título:
An Evolutionary Wrapper for Feature Selection in Face Recognition Applications
Autor/es:
VIGNOLO, L. D.; MILONE, D. H.; SCHARCANSKI, J.; BEHAINE, C.
Reunión:
Conferencia; 2012 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC 2012); 2012
Institución organizadora:
IEEE
Resumen:
Active shape models is an adaptive shape-matching technique that has been used for locating facial features in images. However, when a number of features is extracted for each landmark point, distortions caused by noise or illumination, and the dimensionality of the final representation, have a negative impact in the performance of a classifier. In this paper, an evolutionary wrapper for selection of the most relevant set of features for face recognition is presented. The proposed strategy explores the space of multiple feasible selections using genetic algorithms. Experimental results show that the proposed approach allows to improve the classification performance in comparison with another enhanced method and a state of the art face recognition approach.