2nd Annual Special Session on Bio-Inspired Machine Vision

Hosted at the 6th International ICST Conference on Bio-Inspired Models of Network,
Information, and Computing Systems (BIONETICS 2011)

York, England - December 5 - 7, 2011 http://www.bionetics.org/sp/bimv.html

While machine vision systems are becoming increasingly powerful, in most regards they are still far inferior to their biological counterparts. For instance, in terms of object segmentation, recognition of object categories, viewpoint and lighting invariance, or material recognition, much can be learned from the visual systems of humans and animals. Studying the biological systems and applying the findings to the construction of computational vision models and artificial vision systems is therefore a promising way of advancing the field of machine vision. Conversely, evaluating the performance of such models and systems in comparison to the biological systems can provide important feedback for a better understanding of the brain mechanisms underlying natural vision. Bio-inspired machine vision is thus a truly interdisciplinary research endeavor that benefits all scientific disciplines involved. The objective of the Special Session on Bio-Inspired Machine Vision is to bring together scientists from fields such as computer science, engineering, psychology, neuroscience, and biology to discuss their
current work relating to this research effort. This session will provide an opportunity for exchanging research ideas and initiating cross-disciplinary research partnerships that will lead to novel approaches and developments in both machine vision and the study of biological vision. To achieve its objective, this special session seeks high-quality, original and unpublished papers addressing topics relevant to the issues raised above, for example:

• Psychophysical, neuroimaging, EEG, or TMS studies of the human visual system that are
relevant to computational vision models or machine vision applications

• Studies of vision in animals with results that apply to computational models or technical applications in vision

• Implementation and evaluation of biologically inspired components in machine vision systems

• Systematic evaluation of biologically inspired artificial vision systems and comparison of the results to behavioral or neurophysiological data

• Biologically motivated computational models of specific aspects of biological vision that are relevant to technical vision applications

• Evaluation of human or animal vision with regard to ideal observer models

etc ...



Paper Submission:

Papers must follow the Springer LNICST format.
Please visit http://www.bionetics.org/submission.shtml for detailed submission instructions.

Authors are invited to submit papers in the following categories
* Regular papers: Up to 15 pages
* Short papers: Up to 2 pages
* Work-in-progress papers: Up to 6 pages
* Demo papers: Up to 4 pages

Important Dates
* Paper submission due: September 1st
* Notification of acceptance: September 23rd
* Camera ready due: --


Publication
All accepted paper will be published by Springer. A selected number of best papers will be considered for publication in leading journals such as ACM Trans. on Autonomous and Adaptive Systems.