Call For Papers
The workshop's chairs and programme committee members believe that the following
topics should be addressed in order to contribute to the advancement of the
state of the art in both computer vision and the computational modelling of
biological vision:
- 2-D and 3-D shape representation and recognition,
- Figure-ground segmentation,
- Object recognition,
- Image and/or scene recognition,
- Motion segmentation and action/gesture recognition,
- Attentional mechanisms, and
- Visual exploration
These topics could be addressed within one (or several) of the following methodological
paradigms:
- Bayesian inference,
- Bayesian decision theory,
- Hidden Markov models,
- Belief propagation,
- Spectral-graph theory and spectral clustering,
- Graph partitioning, and
- Graph matching
Each submitted paper will go through a double-blind review by three programme
committee members. Accepted papers will be published both as:
- CD-Rom proceedings, as well as a
- Springer LNCS post-proceedings publication.