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» Variational Bayesian image modelling
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MICCAI
2004
Springer
16 years 4 months ago
Coupling Statistical Segmentation and PCA Shape Modeling
This paper presents a novel segmentation approach featuring shape constraints of multiple structures. A framework is developed combining statistical shape modeling with a maximum a...
Kilian M. Pohl, Simon K. Warfield, Ron Kikinis, W....
140
Voted
TMI
2002
118views more  TMI 2002»
15 years 3 months ago
Phase-Based Multidimensional Volume Registration
Abstract-- We present a method for accurate image registration and motion compensation in multidimensional signals, such as 2D X-ray images and 3D CT/MRI volumes. The method is bas...
Magnus Hemmendorff, Mats T. Andersson, Torbjö...
116
Voted
MICCAI
2006
Springer
16 years 4 months ago
Logarithm Odds Maps for Shape Representation
The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape repr...
Kilian M. Pohl, John W. Fisher III, Martha Elizabe...
ICPR
2006
IEEE
16 years 4 months ago
Face Recognition Robust to Head Pose from One Sample Image
Most face recognition systems only work well under quite constrained environments. In particular, the illumination conditions, facial expressions and head pose must be tightly con...
Brian C. Lovell, Shaokang Chen, Ting Shan
ICA
2010
Springer
15 years 3 months ago
Probabilistic Latent Tensor Factorization
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
Y. Kenan Yilmaz, A. Taylan Cemgil