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EnglishIn 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.
| Titolo: | Surface Reconstruction from Range Images |
| Autore/i: | MARIOSA, GIANFRANCO; FIORAIO, NICOLA; FRANCHI, ALESSANDRO; DI STEFANO, LUIGI |
| Autore/i Unibo: | |
| Anno: | 2016 |
| Titolo del libro: | STAG: Smart Tools and Apps in computer Graphics (2016) |
| Pagina iniziale: | 119 |
| Pagina finale: | 126 |
| Digital Object Identifier (DOI): | 10.2312/stag.20161371 |
| 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. |
| Data stato definitivo: | 22-mag-2017 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
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