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» Surface Reconstruction of Noisy and Defective Data Sets
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VIS
2004
IEEE
214views Visualization» more  VIS 2004»
14 years 6 months ago
Surface Reconstruction of Noisy and Defective Data Sets
We present a novel surface reconstruction algorithm that can recover high-quality surfaces from noisy and defective data sets without any normal or orientation information. A set ...
Hui Xie, Kevin T. McDonnell, Hong Qin
VLSM
2005
Springer
13 years 10 months ago
A Surface Reconstruction Method for Highly Noisy Point Clouds
In this paper we propose a surface reconstruction method for highly noisy and non-uniform data based on minimal surface model and tensor voting method. To deal with ill-posedness, ...
DanFeng Lu, HongKai Zhao, Ming Jiang 0001, ShuLin ...
ICIP
2009
IEEE
14 years 6 months ago
Photo-consistent Surface Reconstruction From Noisy Point Clouds
Existing algorithms for surface reconstruction from point sets are defeated by moderate amounts of noise and outliers, which makes them unapplicable to point clouds originating fr...
SGP
2004
13 years 7 months ago
Spectral Surface Reconstruction From Noisy Point Clouds
: We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral gr...
Ravi Krishna Kolluri, Jonathan Richard Shewchuk, J...
CGF
2008
98views more  CGF 2008»
13 years 5 months ago
Surface Reconstruction from Unorganized Point Data with Quadrics
We present a reverse engineering method for constructing a surface approximation scheme whose input is a set of unorganized noisy points in space and whose output is a set of quad...
Marek Vanco, Bernd Hamann, Guido Brunnett