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BMVC
2001

An Information Theoretic Approach to Statistical Shape Modelling

13 years 6 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 correspondences across a training set of segmented shapes. By posing the problem as one of minimising the description length of the model, we develop an efficient method that automatically defines correspondences across a set of shapes. Results are given for several different training sets of shapes, showing that the automatic method constructs significantly better models than those built by hand - the current gold standard.
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi
Added 30 Sep 2010
Updated 30 Sep 2010
Type Conference
Year 2001
Where BMVC
Authors Rhodri H. Davies, Timothy F. Cootes, Carole J. Twining, Christopher J. Taylor
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