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» Metric graph reconstruction from noisy data
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GRC
2008
IEEE
13 years 8 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
CGF
2010
113views more  CGF 2010»
13 years 7 months ago
Signing the Unsigned: Robust Surface Reconstruction from Raw Pointsets
We propose a modular framework for robust 3D reconstruction from unorganized, unoriented, noisy, and outlierridden geometric data. We gain robustness and scalability over previous...
Patrick Mullen, Fernando de Goes, Mathieu Desbrun,...
ICCV
2007
IEEE
14 years 9 months ago
Toward Reconstructing Surfaces With Arbitrary Isotropic Reflectance : A Stratified Photometric Stereo Approach
We consider the problem of reconstructing the shape of a surface with an arbitrary, spatially varying isotropic bidirectional reflectance distribution function (BRDF), and introdu...
Neil G. Alldrin, David J. Kriegman
IJCV
1998
233views more  IJCV 1998»
13 years 7 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
ECCV
2002
Springer
14 years 9 months ago
Using Dirichlet Free Form Deformation to Fit Deformable Models to Noisy 3-D Data
Free-form deformations (FFD) constitute an important geometric shape modification method that has been extensively investigated for computer animation and geometric modelling. In t...
Slobodan Ilic, Pascal Fua