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» Normal and Feature Approximations from Noisy Point Clouds
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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
SGP
2007
13 years 10 months ago
Robust statistical estimation of curvature on discretized surfaces
A robust statistics approach to curvature estimation on discretely sampled surfaces, namely polygon meshes and point clouds, is presented. The method exhibits accuracy, stability ...
Evangelos Kalogerakis, Patricio D. Simari, Derek N...
IROS
2008
IEEE
116views Robotics» more  IROS 2008»
14 years 2 months ago
Selection of robot pre-grasps using box-based shape approximation
— Grasping is a central issue of various robot applications, especially when unknown objects have to be manipulated by the system. In earlier work, we have shown the efficiency ...
Kai Huebner, Danica Kragic
VISUALIZATION
2002
IEEE
14 years 16 days 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...
ECCV
2002
Springer
14 years 9 months ago
Multi-scale EM-ICP: A Fast and Robust Approach for Surface Registration
We investigate in this article the rigid registration of large sets of points, generally sampled from surfaces. We formulate this problem as a general Maximum-Likelihood (ML) estim...
Sébastien Granger, Xavier Pennec