Facial Surface Analysis using Iso-Geodesic Curves in Three Dimensional Face Recognition System
Computer Vision and Pattern Recognition
2016-09-01 v1
Abstract
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).
Cite
@article{arxiv.1608.08878,
title = {Facial Surface Analysis using Iso-Geodesic Curves in Three Dimensional Face Recognition System},
author = {Rachid Ahdid and El Mahdi Barrah and Said Safi and Bouzid Manaut},
journal= {arXiv preprint arXiv:1608.08878},
year = {2016}
}
Comments
6 pages