British Machine Vision Association and Society for Pattern Recognition

Call for Participation

Shape Representation, Analysis and Perception
One Day BMVA symposium in UCL, London, UK on 5th November 2007
http://www.bmva.ac.uk/meetings

Chairs: Will Smith and Edwin Hancock, University of York.

Computer vision draws on a diverse range of methods to represent shape
for the purposes of recognition. Broadly speaking, the available methods
are informed by a number of disciplines including geometry, statistics,
neuroscience and psychophysics. Recent advances in the area include the
use of ideas from differential geometry to construct representations for
complex non-Euclidean forms of data and the use of ideas from statistics
to construct shape spaces and shape-priors for objects that exhibit
subtle modes of shape-variation. Moreover, there have been significant
advances in the structural representation of shape, allowing
hierarchical models and symbolic reasoning to be applied to high level
analysis tasks such as the learning of shape-classes. Brain imaging
studies using MEG and fMRI have also furnished information concerning
the mechanisms involved in the perception of visual form.

The aim of this meeting is to provide a forum for the discussion of
recent results in shape representation, analysis and perception.
Contributions describing recent work on shape representation, analysis
or perception are welcome. Potential topics include, but are not limited
to: statistical models, construction of shape-spaces, structural and
syntactic approaches to shape analysis, shape priors, learning and
discovery with shape representations, modelling biological form
(including faces), brain imaging studies, psychophysical studies,
shape-from-X (shading texture, specularity, motion etc).

Please submit an extended summary of about one A4-sized page (no longer
than two pages) in length (PDF preferred). Send contributions by email
attachment (1Mb max please!) to Edwin Hancock ( mailto:erh@cs.york.ac.uk )
by 15th September 2007.

Simon Prince, Department of Computer Science
University College London, Gower Street, London, WC1E 6BT
Tel. 020 7679 3692, Fax. 020 7387 1397
http://www.cs.ucl.ac.uk/staff/S.Prince/