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.

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.
2016
STAG: Smart Tools and Apps in computer Graphics (2016)
119
126
Gianfranco, Mariosa; Nicola, Fioraio; Alessandro, Franchi; Luigi Di, Stefano
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/590112
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