Surface reconstruction from range images

Abstract

In this work we propose an algorithm for fast and detailed surface reconstruction from range images. Our method extends the well-known Ball Pivoting Algorithm (BPA) so to exploit the inherent structure of range images, outperforming the state-of-the- art both in terms of reconstruction quality and computation time. Moreover, we have investigated on automatic estimation of the algorithm's parameters and, in particular, we propose a novel robust approach to estimate the sequence of radii required by BPA, thus demanding less effort by the user compared to existing solutions.