2016/08/31 by Rachid Ahdid, Ahdid, Rachid, El Mahdi Barrah +5
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Image Processing and 3D Reconstruction
paper · pdf · doi:10.48550/arxiv.1608.08878
openalex publication_date 2016/08/31 · openalex created_date 2016/09/16 · openalex updated_date 2026/07/28
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).