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

Facial Surface Analysis using Iso-Geodesic Curves in Three Dimensional Face Recognition System