TOWARDS A BIO-INSPIRED APPROACH TO CLUSTERING FACIAL GESTURE IN SUSPECT/NON-SUSPECT PERSONS

摘要

In this paper we present the first steps towards a bio-inspired approach for clustering facial gesture in suspects and non suspect persons. After eyes and mouth detected corners we build an anthropomorphical grid on the face. Next, a convolution inspired in the neurons of Vl-MT allows to obtain the active neuron ratios and the two principal moments of active neurons for each region in our anthropomorphical grid. The classification in suspect/non-suspect emerge from the difference between ratios of symmetrical regions in the face.