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» 3D Reconstruction Using Labeled Image Regions
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ICPR
2006
IEEE
14 years 9 months ago
3D and Infrared Face Reconstruction from RGB data using Canonical Correlation Analysis
In this paper, we apply a multiple regression method based on Canonical Correlation Analysis (CCA) to face data modelling. CCA is a factor analysis method which exploits the corre...
Michael Reiter, Rene Donner, Georg Langs, Horst Bi...
ICIP
2003
IEEE
14 years 10 months ago
Statistical atlas-based sub-voxel segmentation of 3D brain MRI
We present a 3D brain MRI segmentation method in which a high resolution label image evolves under the influence of multiple constraints. The constraints are expressed in a versat...
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach
CVPR
2008
IEEE
13 years 10 months ago
Off-axis aperture camera: 3D shape reconstruction and image restoration
In this paper we present a novel 3D surface and image reconstruction method based on the off-axis aperture camera. The key idea is to change the size or the 3-D location of the ap...
Qingxu Dou, Paolo Favaro
SAC
2006
ACM
14 years 2 months ago
Hardware/software 2D-3D backprojection on a SoPC platform
The reduction of image reconstruction time is needed to spread the use of PET for research and routine clinical practice. In this purpose, this article presents a hardware/softwar...
Nicolas Gac, Stéphane Mancini, Michel Desvi...
ICIP
2005
IEEE
14 years 10 months ago
An active regions approach for the segmentation of 3D biological tissue
Some of the most successful algorithms for the automated segmentation of images use an Active Regions approach, where a curve is evolved so as to maximize the disparity of its int...
Gregory Randall, Juan Cardelino, Marcelo Bertalm&i...