  In this paper, we present an automatic 3D face recognition system. This
system is based on the representation of human faces surfaces as collections of
Iso-Geodesic Curves (IGC) using 3D Fast Marching algorithm. To compare two
facial surfaces, we compute a geodesic distance between a pair of facial curves
using a Riemannian geometry. In the classifying step, we use: Neural Networks
(NN), K-Nearest Neighbor (KNN) and Support Vector Machines (SVM). To test this
method and evaluate its performance, a simulation series of experiments were
performed on 3D Shape REtrieval Contest 2008 database (SHREC2008).
