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-theart 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.
Gianfranco, M., Nicola, F., Alessandro, F., Luigi Di, S. (2016). Surface Reconstruction from Range Images. The Eurographics Association. [10.2312/stag.20161371].
Surface Reconstruction from Range Images
MARIOSA, GIANFRANCO;FIORAIO, NICOLA;FRANCHI, ALESSANDRO;DI STEFANO, LUIGI
2016
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-theart 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
