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BMVC
2001
13 years 7 months ago
An Information Theoretic Approach to Statistical Shape Modelling
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...
ICPR
2010
IEEE
13 years 10 months ago
2D Shape Recognition Using Information Theoretic Kernels
In this paper, a novel approach for contour-based 2D shape recognition is proposed, using a recently introduced class of information theoretic kernels. This kind of kernels, based...
Manuele Bicego, André Filipe Torres Martins, Vitt...
ICIP
2003
IEEE
13 years 9 months ago
A priori information in image segmentation: energy functional based on shape statistical model and image information
In this paper, we propose an energy functional to segment objects whose global shape is a priori known thanks to a statistical model. Our work aims at extending the variational ap...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
MICCAI
2009
Springer
13 years 11 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
IPMI
2005
Springer
14 years 5 months ago
A Unified Information-Theoretic Approach to Groupwise Non-rigid Registration and Model Building
The non-rigid registration of a group of images shares a common feature with building a model of a group of images: a dense, consistent correspondence across the group. Image regis...
Carole J. Twining, Timothy F. Cootes, Stephen Mars...