|This article presents the results of analyzing the behavior of the Cone Curvature shapedescriptor (CC) in the task of recognition of facial expressions in 3D images. The CCdescriptor is a representation of the 3D model computed from a set of waves modelingfor each vertex of a polygon mesh. The 3D Facial Expression Database (BU-3DFE) wasused, which contains images with six facial expressions. With the use of the CC descriptor,the expressions were recognized in an average percentage of 76.67% with a neuralnetwork, and of 78.88% with a Bayesian classifier. By combining the CC descriptor withother descriptors such as DESIRE and Spherical Spin Image, it was achieved an averagepercentage of gesture recognition of 90.27%and 97.2 %, using the mentioned classifiers.