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117
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IJCV
2010
169views more  IJCV 2010»
14 years 11 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
92
Voted
ICPR
2006
IEEE
15 years 6 months ago
A Statistical Assembled Model for Segmentation of Entire 3D Vasculature
We introduce a novel statistical deformable model called SAMTUS for the segmentation of soft tissue tubular structures. The model is composed of an assembly of statistically defor...
Judy Jun Feng, Horace Ho-Shing Ip
89
Voted
ISBI
2008
IEEE
16 years 1 months ago
Quantitative genetic modeling of lateral ventricular shape and volume using multi-atlas fluid image alignment in twins
Despite substantial progress in measuring the 3D profile of anatomical variations in the human brain, their genetic and environmental causes remain enigmatic. We developed an auto...
Yi-Yu Chou, Natasha Lepore, Marina Barysheva, Ming...
149
Voted
PAMI
2010
210views more  PAMI 2010»
14 years 11 months ago
Multi-Object Analysis of Volume, Pose, and Shape Using Statistical Discrimination
Abstract— One goal of statistical shape analysis is the discrimination between two populations of objects. In this paper, we present results of discriminant analysis on multi-obj...
Kevin Gorczowski, Martin Styner, Ja-Yeon Jeong, J....
MICCAI
1998
Springer
15 years 4 months ago
Multi-object Deformable Templates Dedicated to the Segmentation of Brain Deep Structures
We propose a new way of embedding shape distributions in a topological deformable template. These distributions rely on global shape descriptors corresponding to the 3D moment inva...
Fabrice Poupon, Jean-Francois Mangin, Dominique Ha...