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SMI
2007
IEEE
194views Image Analysis» more  SMI 2007»
14 years 1 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...
VMV
2003
181views Visualization» more  VMV 2003»
13 years 9 months ago
2.5D Active Contour for Surface Reconstruction
In this paper, we present a new deformable model — 2.5D Active Contour— that is capable of directly extracting shape geometry from 3D unorganized point cloud datasets. The rec...
Ye Duan, Hong Qin
32
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CGF
2000
155views more  CGF 2000»
13 years 7 months ago
Surface Reconstruction Based on Lower Dimensional Localized Delaunay Triangulation
We present a fast, memory efficient algorithm that generates a manifold triangular mesh S passing through a set of unorganized points P R3 . Nothing is assumed about the geometry,...
M. Gopi, Shankar Krishnan, Cláudio T. Silva
ECCV
2010
Springer
14 years 13 days ago
2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR Point Clouds
We present a robust approach to creating 2.5D building models from aerial LiDAR point clouds. The method is guaranteed to produce crack-free models composed of complex roofs and ve...
Qian-Yi Zhou, Ulrich Neumann
VIS
2004
IEEE
214views Visualization» more  VIS 2004»
14 years 8 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