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» Surface Reconstruction of Noisy and Defective Data Sets
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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
CGF
2004
114views more  CGF 2004»
13 years 7 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...
ICPR
2004
IEEE
14 years 8 months ago
Alignment of Multiple Non-Overlapping Axially Symmetric 3D Datasets
Uknown to us, an axially-symmetric surface is broken into disjoint pieces along a set of break-curves, i.e., the curves along which the surface locally breaks into two pieces. A s...
Andrew R. Willis, David B. Cooper
CGVR
2010
13 years 5 months ago
Triangulation-free 3D Reconstruction from LiDAR Data
We demonstrate a generic method for visualization of high-resolution unorganized and noisy 3D data points with a surface of significantly lower resolution. To this effect, we feed...
Yusuf Sahillioglu
CVPR
2004
IEEE
14 years 9 months ago
Reconstructing Open Surfaces from Unorganized Data Points
In this paper a method for fitting open surfaces to an unorganized set of data points is presented using a level set representation of the surface. This is done by tracking a curv...
Jan Erik Solem, Anders Heyden