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ICCV
2011
IEEE
14 years 6 months ago
A New Distance for Scale-Invariant 3D Shape Recognition and Registration
This paper presents a method for vote-based 3D shape recognition and registration, in particular using mean shift on 3D pose votes in the space of direct similarity transforms for...
Minh-Tri Pham, Oliver J. Woodford, Frank Perbet, A...

Publication
1851views
17 years 7 months ago
Cerebrovascular Segmentation from TOF Using Stochastic Models
In this paper, we present an automatic statistical approach for extracting 3D blood vessels from time-of-flight (TOF) magnetic resonance angiography (MRA) data. The voxels of the d...
M. Sabry Hassouna, Aly A. Farag, Stephen Hushek, T...
MA
2010
Springer
172views Communications» more  MA 2010»
15 years 5 months ago
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors
We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Vivekananda Roy, James P. Hobert
ICIP
2004
IEEE
16 years 8 months ago
3-d geometry enhancement by contour optimization in turntable sequences
A method for the enhancement of geometry accuracy in shapefrom-shading frameworks is presented. For the particular case of turntable scenarios, an optimization scheme is presented...
Peter Eisert
ICIP
2003
IEEE
16 years 8 months ago
An efficient subdivision inversion for wavemesh-based progressive compression of 3D triangle meshes
Wavemesh is a powerful scheme for 3D triangular mesh processing. In sharp contrast with other approaches using wavelets for mesh compression which apply only to meshes having subd...
Sébastien Valette, Jarek Rossignac, R&eacut...