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» Smooth surface reconstruction from noisy range data
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GRAPHITE
2003
ACM
13 years 10 months ago
Smooth surface reconstruction from noisy range data
This paper shows that scattered range data can be smoothed at low cost by fitting a Radial Basis Function (RBF) to the data and convolving with a smoothing kernel (low pass filt...
Jonathan C. Carr, Richard K. Beatson, Bruce C. McC...
ICPR
2002
IEEE
13 years 9 months ago
3D Reconstruction of Indoor and Outdoor Scenes Using a Mobile Range Scanner
This paper describes 3D mapping of indoor and outdoor environment using a mobile range scanner. In the raw range data preprocessing stage, we propose to use area decreasing flow ...
Yiyong Sun, Joon Ki Paik, Andreas Koschan, Mongi A...
SIBGRAPI
2003
IEEE
13 years 10 months ago
A Hole-Filling Strategy for Reconstruction of Smooth Surfaces in Range Images
Creating models of real scenes is a complex task for which the use of traditional modelling techniques is inappropriate. For this task, laser rangefinders are frequently used to s...
Jianning Wang, Manuel M. Oliveira
CGF
2004
114views more  CGF 2004»
13 years 4 months ago
Smooth Surface Reconstruction Using Tensor Fields as Structuring Elements
We propose a new strategy to estimate surface normal information from highly noisy sparse data. Our approach is based on a tensor field morphologically adapted to infer normals. I...
Marcelo Bernardes Vieira, Paulo P. Martins Jr., Ar...
GRC
2008
IEEE
13 years 5 months ago
Neighborhood Smoothing Embedding for Noisy Manifold Learning
Manifold learning can discover the structure of high dimensional data and provides understanding of multidimensional patterns by preserving the local geometric characteristics. Ho...
Guisheng Chen, Junsong Yin, Deyi Li