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» Smooth surface reconstruction from noisy range data
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IJCV
1998
233views more  IJCV 1998»
13 years 4 months ago
A Level-Set Approach to 3D Reconstruction from Range Data
This paper presents a method that uses the level sets of volumes to reconstruct the shapes of 3D objects from range data. The strategy is to formulate 3D reconstruction as a stati...
Ross T. Whitaker
ICRA
2009
IEEE
163views Robotics» more  ICRA 2009»
13 years 12 months ago
On fast surface reconstruction methods for large and noisy point clouds
— In this paper we present a method for fast surface reconstruction from large noisy datasets. Given an unorganized 3D point cloud, our algorithm recreates the underlying surface...
Zoltan Csaba Marton, Radu Bogdan Rusu, Michael Bee...
ICCV
2001
IEEE
14 years 7 months ago
Reconstructing Surfaces Using Anisotropic Basis Functions
Point sets obtained from computer vision techniques are often noisy and non-uniform. We present a new method of surface reconstruction that can handle such data sets using anisotr...
Huong Quynh Dinh, Greg Turk, Gregory G. Slabaugh
SIGGRAPH
1994
ACM
13 years 9 months ago
Piecewise smooth surface reconstruction
We present a general method for automatic reconstruction of accurate, concise, piecewise smooth surface models from scattered range data. The method can be used in a variety of ap...
Hugues Hoppe, Tony DeRose, Tom Duchamp, Mark A. Ha...
CGVR
2010
13 years 3 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