An Automatic Multi-sample 3D Face Registration Method Based on Thin Plate Spline and Deformable Model

Abstract

Non-rigid registration of 3D facial surfaces is a crucial step in a variety of computer vision tasks. In this paper, we present a fully automatic 3D face registration method based on the thin plate spline (TPS) and deformable model. To model the non-rigid modality of complex 3D facial surfaces, the thin plate spline is adopted to represent the transformation between 3D faces. The farthest point sampling (FPS) method is used to generate the control points for the thin plate spline transfor-mation automatically. There are two phases for 3D face registration. Firstly, the preliminary registration is obtained by closest points searching between the thin plate spline trans-formed reference and the target. Then the multi-sample regis-tration is implemented to improve the precision of the registration by using a dynamical reference produced based on de-formable model. To eliminate outliers countermeasures are presented in both phases. The experiments on Bu-3dfe and Bjut-3d face databases show that the proposed method is effective and robust.