An Efficient 3D Face Recognition Method Using Geometric Features

In this work, we present a 3D face recognition method which utilizes 3D facial geometric features. Compared with some other relative methods our method does not need to accurately locate facial points, only nose tip should be detected. Geometric distance among the points around nose tip is calculated to represent the facial geometry. Our recognition process takes two steps. In the first step, a number of candidates are selected from the gallery according to the geometric features we extracted. In the second step, ICP algorithm is performed to match the probe with the candidates to make the final decision. We use CASIA 3D face database to evaluate our system. Experiment results demonstrate that our method is competitive with other 3D face recognition methods.