Noise-Adaptive Shape Reconstruction from Raw Point Sets

We propose a noise‐adaptive shape reconstruction method specialized to smooth, closed shapes. Our algorithm takes as input a defect‐laden point set with variable noise and outliers, and comprises three main steps. First, we compute a novel noise‐adaptive distance function to the inferred shape, whic...

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Bibliographic Details

Published in:	Computer graphics forum Vol. 32; no. 5; pp. 229 - 238
Main Authors:	Giraudot, Simon, Cohen-Steiner, David, Alliez, Pierre
Format:	Journal Article
Language:	English
Published:	Oxford, UK Blackwell Publishing Ltd 01.08.2013 Wiley
Subjects:	Algebraic Geometry Algorithms Computer graphics Computer science Confidence Graphs I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Boundary representations Mathematical analysis Mathematical models Mathematics Noise Reconstruction Seeds Studies United States > US
ISSN:	0167-7055, 1467-8659
Online Access:	Get full text
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