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» Robust Smooth Feature Extraction from Point Clouds
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SMI
2007
IEEE
194views Image Analysis» more  SMI 2007»
13 years 10 months ago
Robust Smooth Feature Extraction from Point Clouds
Defining sharp features in a given 3D model facilitates a better understanding of the surface and aids visualizations, reverse engineering, filtering, simplification, non-photo...
Joel Daniels II, Linh K. Ha, Tilo Ochotta, Cl&aacu...
CGF
2010
198views more  CGF 2010»
13 years 4 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...
SMA
2009
ACM
132views Solid Modeling» more  SMA 2009»
13 years 10 months ago
Robust Voronoi-based curvature and feature estimation
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
Quentin Mérigot, Maks Ovsjanikov, Leonidas ...
CVPR
2009
IEEE
14 years 11 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
CRV
2008
IEEE
182views Robotics» more  CRV 2008»
13 years 10 months ago
Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data
Bare-earth identification selects points from a LiDAR point cloud so that they can be interpolated to form a representation of the ground surface from which structures, vegetatio...
Wei-Lwun Lu, James J. Little, Alla Sheffer, Hongbo...