The General Applications Section of the Royal Statistical Society
is holding a meeting on "Shape Analysis" at 12 Errol Street,
London, on 12th October 1999 from 5pm. Three talks are
scheduled and tea will be served from 4.30pm. Everybody is
welcome to attend. The meeting will finish around 6.30pm.
STATISTICS OF SHAPES AND IMAGES
Kanti V. Mardia (University of Leeds)
Objects are everywhere - natural and man-made. With advances in
technology, images in 2-D and 3-D provide easily accessible
information on objects, especially their shapes. The field of shape
analysis gives methods for the study of the shape of the objects
where location, rotation and scale information can be removed.
Assuming that a shape can be described by its landmarks, there
have been significant statistical advances in this decade in the field
of shape analysis.
We will describe the latest advances in statistical methodology to
measure, describe and compare the shape of objects. Practical
examples will be given from various fields including medical
imaging, face analysis and biology. Open problems in the field will
be also highlighted.
SHAPE ANALYSIS OF MULTIDIMENSIONAL SCALING
CONFIGURATIONS
Trevor Cox and Paul Bell (University of Newcastle upon Tyne)
Probabilistic models for dissimilarities measured between objects
lead to multidimensional scaling (MDS) configurations representing
the objects that are estimated by maximum likelihood. This in turn
allows the variation in the configuration to be measured. However a
problem occurs because of the non-uniquess of configurations in
terms of translation and rotation. Shape analysis is one approach
that can be used to overcome this.
DETECTION OF SHAPE CHANGES IN BIOLOGICAL FEATURES
Huiling Le (University of Nottingham)
In this talk, we combine the classical multidimensionalscaling
technique with the geometry of shape spaces to demonstrate the
role played by the geodesics in shape spaces in analysing shape
changes over time. This, we hope, will be a first step in obtaining a
satisfactory solution to the problem.
______________________________________________
Dr David F. Percy, Honorary Secretary,
General Applications Section
of the Royal Statistical Society.
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