KEYWORDS: 3D modeling, Clouds, Databases, Facial recognition systems, Data modeling, Nose, 3D image processing, Distance measurement, Process modeling, Detection and tracking algorithms
This paper proposes the automatic face recognition method based on the face representation with a 3D mesh, which precisely reflects the geometric features of the specific subject. The mesh model is generated by using nonlinear subdivision scheme and fitting with the 3D point cloud, and describes the deep information of human faces accurately. The effective method for matching two mesh models is developed to decide whether they are from the same person. We test our proposed algorithm on 3D_RMA database, and experimental results and comparisons with others' work show the effectiveness and competitive performance of the proposed method.
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