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[Computational-biology] Deadline extended until July 30: Bio-Inspired Machine Vision at BIONETICS 2010

Marc Pomplun via comp-bio%40net.bio.net (by marc from cs.umb.edu)
Sun Jul 18 23:39:35 EST 2010

BIONETICS 2010 - Special Track on Bio-Inspired Machine Vision
Hosted at the 5th International ICST Conference on Bio-Inspired Models
of Network, Information, and Computing Systems (BIONETICS 2010)
Boston, MA, USA December 1 - 3, 2010 http://www.bionetics.org/sp/bimv.html

ANNOUNCEMENT: Deadline for regular paper submission extended until July 30

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 Track 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 track 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 track 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high-quality, original and unpublished papers addressing topics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
   * Evaluation of human or animal vision with regard to ideal observer models
   * Studies of visual attention in humans or animals that may inform
the implementation of attentional mechanisms in technical vision
   * Implementation and evaluation of mechanisms of location-,
feature-, or object-based attention in artificial vision systems or
computational models of vision
   * Construction of active vision systems with camera control
inspired by human eye-movement behavior

Paper Submission:

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

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

Important Dates:

   * Regular paper submission due: July 30
   * Short, work-in-progress and demo paper submission due: September 19
   * Notification of acceptance for regular papers: September 12
   * Notification of acceptance for short, work-in-progress and demo
papers: September 30
   * Camera ready due: October 10


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.

Program Committee Members:

   * Erhardt Barth, University of Lubeck, Germany
   * Neil Bruce, York University, Toronto, Canada
   * Sharat Chikkerur, Massachusetts Institute of Technology, Cambridge, MA
   * David Cox, Harvard University, Cambridge, MA
   * Michael Dorr, Schepens Eye Research Institute, Boston, MA
   * Tyler Garaas, Mitsubishi Electric Research Laboratories, Cambridge, MA
   * Nurit Haspel, University of Massachusetts at Boston, Boston, MA
   * Alex Hwang, Schepens Eye Research Institute, Boston, MA
   * Gang Luo, Schepens Eye Research Institute, Boston, MA
   * Ronaldo Menezes, Florida Institute of Technology, Melbourne, FL
   * Marc Pomplun, University of Massachusetts at Boston, Boston, MA
   * Eraldo Ribeiro, Florida Institute of Technology, Melbourne, FL

Track Chairs:

   * Marc Pomplun, University of Massachusetts at Boston, Boston, MA
   * Tyler Garaas, Mitsubishi Electric Research Laboratories, Cambridge, MA

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