Surface Reconstruction Using the Rapid Segmentation and Optimization Method

We present a system for accurate reconstruction of a complex face model using only a moving low-cost depth camera and optimization algorithm. In this paper, we introduce a method to minimize the error of the depth images on the signed distance function (SDF). As the signed distance function contains the distances to the surface for each voxel, the camera coordinate estimation can be carried out rapidly with Levenberg-Marquardt that uses the camera pose and the preprocess data in the voxel grid. With this proposed method, a detailed reconstruction of an object can be achieved.