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» Geometric Feature Estimators for Noisy Discrete Surfaces
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PG
2007
IEEE
13 years 11 months ago
Fast and Faithful Geometric Algorithm for Detecting Crest Lines on Meshes
A new geometry-based finite difference method for a fast and reliable detection of perceptually salient curvature extrema on surfaces approximated by dense triangle meshes is pro...
Shin Yoshizawa, Alexander G. Belyaev, Hideo Yokota...
COMPGEOM
2003
ACM
13 years 10 months ago
Estimating surface normals in noisy point cloud data
In this paper we describe and analyze a method based on local least square fitting for estimating the normals at all sample points of a point cloud data (PCD) set, in the presenc...
Niloy J. Mitra, An Nguyen
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
13 years 12 months ago
On fast surface reconstruction methods for large and noisy point clouds
— In this paper we present a method for fast surface reconstruction from large noisy datasets. Given an unorganized 3D point cloud, our algorithm recreates the underlying surface...
Zoltan Csaba Marton, Radu Bogdan Rusu, Michael Bee...
VISUALIZATION
2002
IEEE
13 years 10 months ago
Geometric Surface Smoothing via Anisotropic Diffusion of Normals
This paper introduces a method for smoothing complex, noisy surfaces, while preserving (and enhancing) sharp, geometric features. It has two main advantages over previous approach...
Tolga Tasdizen, Ross T. Whitaker, Paul Burchard, S...
ISBI
2004
IEEE
14 years 6 months ago
Quantitative Imaging: How to Measure Size Features in Digitized Images
We present an nD image processing paradigm to obtain high precision estimates of geometric object properties such as volume, surface area, and length from digitized data. We prove...
Lucas J. van Vliet, Piet W. Verbeek, Ian T. Young