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» Recovering Spheres from 3D Point Data
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NIPS
2000
13 years 10 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
ISVD
2010
IEEE
13 years 7 months ago
Guaranteed Quality Tetrahedral Delaunay Meshing for Medical Images
—In this paper, we present a Delaunay refinement algorithm for meshing 3D medical images. We prove that (a) all the tetrahedra of the output mesh have radius-edge ratio less tha...
Panagiotis A. Foteinos, Andrey N. Chernikov, Nikos...
AFRIGRAPH
2010
ACM
14 years 4 days ago
Progressive RBF interpolation
Interpolation based on Radial Basis Functions (RBF) is very often used for scattered scalar data interpolation in n-dimensional space in general. RBFs are used for surface reconst...
Václav Skala
ICCV
2001
IEEE
14 years 10 months ago
A Versatile Method for Trifocal Tensor Estimation
Reliable estimation of the trifocal tensor is crucial for 3D reconstruction from uncalibrated cameras. The estimation process is based on minimizing the geometric distances betwee...
Bogdan Matei, Bogdan Georgescu, Peter Meer
IJCV
2010
169views more  IJCV 2010»
13 years 7 months ago
Rigid Structure from Motion from a Blind Source Separation Perspective
We present an information theoretic approach to define the problem of structure from motion (SfM) as a blind source separation one. Given that for almost all practical joint densi...
Jeff Fortuna, Aleix M. Martínez