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» A Surface Reconstruction Method for Highly Noisy Point Cloud...
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CGF
2010
198views more  CGF 2010»
14 years 9 months ago
Feature Preserving Mesh Generation from 3D Point Clouds
We address the problem of generating quality surface triangle meshes from 3D point clouds sampled on piecewise smooth surfaces. Using a feature detection process based on the cova...
Nader Salman, Mariette Yvinec, Quentin Méri...
PG
2003
IEEE
15 years 2 months ago
Neural Meshes: Statistical Learning Based on Normals
We present a method for the adaptive reconstruction of a surface directly from an unorganized point cloud. The algorithm is based on an incrementally expanding Neural Network and ...
Won-Ki Jeong, Ioannis P. Ivrissimtzis, Hans-Peter ...
ECCV
2010
Springer
15 years 2 months ago
Photo-consistent Planar Patches from Unstructured Cloud of Points
Abstract. Planar patches are a very compact and stable intermediate representation of 3D scenes, as they are a good starting point for a complete automatic reconstruction of surfac...
SGP
2007
14 years 12 months ago
Surface reconstruction using local shape priors
We present an example-based surface reconstruction method for scanned point sets. Our approach uses a database of local shape priors built from a set of given context models that ...
Ran Gal, Ariel Shamir, Tal Hassner, Mark Pauly, Da...
VIS
2004
IEEE
214views Visualization» more  VIS 2004»
15 years 10 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