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» Normal and Feature Approximations from Noisy Point Clouds
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CAD
2007
Springer
13 years 7 months ago
Detection of closed sharp edges in point clouds using normal estimation and graph theory
The reconstruction of a surface model from a point cloud is an important task in the reverse engineering of industrial parts. We aim at constructing a curve network on the point c...
Kris Demarsin, Denis Vanderstraeten, Tim Volodine,...
ICCV
2007
IEEE
14 years 9 months ago
Geometric Integrability and Consistency of 3D Point Clouds
Numerous applications processing 3D point data will gain from the ability to estimate reliably normals and differential geometric properties. Normal estimates are notoriously nois...
George Kamberov, Gerda Kamberova
CGF
2010
198views more  CGF 2010»
13 years 7 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...
CGF
2005
138views more  CGF 2005»
13 years 7 months ago
Approximation of a Variable Density Cloud of Points by Shrinking a Discrete Membrane
This paper describes a method to obtain a closed surface that approximates a general 3D data point set with non-uniform density. Aside from the positions of the initial data point...
Jordi Esteve, Pere Brunet, Alvar Vinacua
ECCV
2008
Springer
14 years 9 months ago
Segmentation and Recognition Using Structure from Motion Point Clouds
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
Gabriel J. Brostow, Jamie Shotton, Julien Fauqueur...