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» Estimating surface normals in noisy point cloud data
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ICCV
1999
IEEE
14 years 22 hour ago
Robust Estimation of Curvature Information from Noisy 3D Data for Shape Description
We describe an effective and novel approach to infer sign and direction of principal curvatures at each input site from noisy 3D data. Unlike most previous approaches, no local su...
Chi-Keung Tang, Gérard G. Medioni
DGCI
2008
Springer
13 years 9 months ago
Geometric Feature Estimators for Noisy Discrete Surfaces
Abstract. We present in this paper robust geometric feature estimators on the border of a possibly noisy discrete object. We introduce the notion of patch centered at a point of th...
Laurent Provot, Isabelle Debled-Rennesson
SMA
2009
ACM
132views Solid Modeling» more  SMA 2009»
14 years 2 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
2012
IEEE
11 years 10 months ago
Curvature-based regularization for surface approximation
We propose an energy-based framework for approximating surfaces from a cloud of point measurements corrupted by noise and outliers. Our energy assigns a tangent plane to each (noi...
Carl Olsson, Yuri Boykov
IROS
2008
IEEE
180views Robotics» more  IROS 2008»
14 years 2 months ago
Aligning point cloud views using persistent feature histograms
— In this paper we investigate the usage of persistent point feature histograms for the problem of aligning point cloud data views into a consistent global model. Given a collect...
Radu Bogdan Rusu, Nico Blodow, Zoltan Csaba Marton...