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» Surface Reconstruction of Noisy and Defective Data Sets
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CVPR
2012
IEEE
13 years 2 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»
14 years 11 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
16 years 22 days 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
14 years 9 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
16 years 1 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