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» Surface Reconstruction of Noisy and Defective Data Sets
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ICPR
2002
IEEE
14 years 13 days 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...
ISMM
2011
Springer
12 years 10 months ago
Surface Reconstruction Using Power Watershed
Abstract. Surface reconstruction from a set of noisy point measurements has been a well studied problem for several decades. Recently, variational and discrete optimization approac...
Camille Couprie, Xavier Bresson, Laurent Najman, H...
BILDMED
2004
204views Algorithms» more  BILDMED 2004»
13 years 9 months ago
Topologically Correct Extraction of the Cortical Surface of a Brain Using Level-Set Methods
In this paper we present a level-set framework for accurate and efficient extraction of the surface of a brain from MRI data. To prevent the so-called partial volume effect we use ...
Stephan Bischoff, Leif Kobbelt
ICCV
1998
IEEE
13 years 11 months ago
Integrated Surface, Curve and Junction Inference from Sparse 3-D Data Sets
We areinterestedin descriptionsof 3-D data sets,as obtained from stereoor a 3-D digitizer. We thereforeconsideras inputa sparsesetof points, possibly associated with certain orien...
Chi-Keung Tang, Gérard G. Medioni
PAMI
2007
183views more  PAMI 2007»
13 years 7 months ago
Variational Surface Interpolation from Sparse Point and Normal Data
Many visual cues for surface reconstruction from known views are sparse in nature, e.g. specularities, surface silhouettes and salient features in an otherwise textureless region....
Jan Erik Solem, Henrik Aanæs, Anders Heyden