Abstract

RODRIGUEZ, Julián S.  and  PRIETO, Flavio. Analysis and comparison of the cone curvature descriptor in facial gesture recognition tasks. ing. [online]. 2015, vol.20, n.2, pp.271-285. ISSN 0121-750X.

This article presents the results of analyzing the behavior of the Cone Curvature shape descriptor (CC) in the task of recognition of facial expressions in 3D images. The CC descriptor is a representation of the 3D model computed from a set of waves modeling for each vertex of a polygon mesh. The 3D Facial Expression Database (BU-3DFE) was used,which contains images with six facial expressions.With theuse ofthe CCdescriptor, the expressions were recognized in an average percentage of 76.67% with a neural network,and of 78.88% with a Bayesian classifier. By combining the CC descriptor with other descriptors such as DESIRE and Spherical Spin Image, it was achieved an average percentage of gesturere cognition of 90.27% and 97.2%, using the mentioned classifiers.

Keywords : Artificial vision; facial recognized; shape descriptors.

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