Three-dimensional shape reconstruction via an objective function optimization-based point cloud registration method

Abstract

This paper proposes an approach for the full-field surface reconstruction of three-dimensional (3-D) objects. The method uses a fringe projection profilometry system to obtain a 3-D point cloud with a multiview and proposes an objective function that involves all of the parameters of rotation and translation. The feature points of the surface of the object are extracted to determine the initial value of the objective function, which is then optimized to achieve accurate registration of the point clouds. The experimental results demonstrate that the proposed method is accurate and effective.