L. S. Encinas

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In the Neural Networks approach by Radial Basis Function-RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the output error. However, the training set size has to be optimized because the time to train an Artificial Neural Network-ANN, is correlated with the number of samples in that training(More)
Different from traditional methods which use two-dimensional images and gray levels to recognize human faces, this article shows a known shape extraction methodology applied to the extraction of 3D human faces conjugated with a conventional and non conventional algorithms for face verification. The SORFACE project involves two main knowledge areas, 3D shape(More)
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