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We study shapes of facial surfaces for the purpose of face recognition. The main idea is to 1) represent surfaces by unions of level curves, called facial curves, of the depth function and 2) compare shapes of surfaces implicitly using shapes of facial curves. The latter is performed using a differential geometric approach that computes geodesic lengths between closed curves on a shape manifold. These ideas are demonstrated using a nearest-neighbor classifier on two 3D face databases: Florida State University and Notre Dame, highlighting a good recognition performance.
Facial curves, shape analysis, geodesic paths, 3D face recognition, range images.

M. Daoudi, C. Samir and A. Srivastava, "Three-Dimensional Face Recognition Using Shapes of Facial Curves," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 28, no. , pp. 1858-1863, 2006.
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