Workshop and Special Issue on
Generative-Model Based Vision:
Washington DC, USA
2 July 2004
This workshop/special issue is the second in a series.
first workshop was held in conjunction with ECCV 2002.
The first special issue has appeared in
Image and Vision Computing vol. 21(1), January 2003.
Five of the articles in the special issue were amongst the
15 most downloaded articles in 2003
from the Image and Vision Computing web site.
At GMBV 2004, 31 workshop submissions have been received
(3 papers rejected without review) and 17 papers have been accepted.
Special Issue Guest Editors and
Workshop Organizing Committee
Chairman and contact person: Arthur Pece,
Additional reviews provided by:
Sarang Joshi (University of North Carolina)
Peihua Li (IRISA/INRIA Rennes)
Bo Markussen (University of Copenhagen)
Gloria Menegaz (University of Siena)
Goals and Scope
In the last decade, there has been a convergence
of statistical and model-based approaches to computational vision.
This is an ongoing process, leading to the emerging paradigm of
generative-model-based (GMB) vision.
This workshop/special issue aims to bring together researchers
working on different problems within computational vision,
who are interested in this paradigm.
For the purposes of the workshop/special issue,
GMB vision is a methodology which prescribes
Often, the generative model is used not only
by the software developer in the formulation of the algorithm,
but also by the algorithm itself as a component
of an iterative estimation process.
The state variables are whatever people want to know,
(e.g. position, size, shape, color) about objects of interest.
This definition is not meant to be dogmatic or to inhibit
the development of the field, but only to give a focus
to the presentations.
- the formulation of a parameterized probabilistic model
of image generation;
- estimation and/or maximization of the posterior probability
(given an image or image sequence) of model parameters (state variables).
In addition to papers describing new GMB algorithms,
also appropriate to the workshop/special issue are
- papers which focus on a detailed study of generative models
(e.g. as models of the statistics of natural images);
- papers which present new estimation methods for model parameters,
or compare different estimation methods
applied to the same generative model;
- papers providing a GMB interpretation (or modification)
of established vision algorithms.
Examples of topics relevant to the workshop/special issue include,
but are by no means limited to, the topics
covered in the
first GMBV workshop.
- paper registration deadline: 20 February 2004
- papers distributed for review: 5 March 2004
- notification of workshop acceptance: 30 March 2004 (with a few outliers)
- deadline for final workshop papers: 4 May 2004
- workshop date: 2 July 2004, immediately after CVPR 2004
- selection of papers for special issue: July 2004
- deadline for final papers for special issue: between Sept. and Dec. 2004
- (depending on the required changes to the workshop papers)
- final decision on acceptance for special issue: soon after
the deadline for final papers
- publication of special issue: first half of 2005