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Date: Fri, 4 Feb 2011 14:08:40 -0500
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FINAL CALL FOR CHAPTER PROPOSALS
Proposal Submission Deadline: February 10, 2011

Developing and Applying Biologically-Inspired Vision Systems:
Interdisciplinary Concepts

A book edited by Dr. Marc Pomplun and Dr. Junichi Suzuki
University of Massachusetts Boston

To be published by IGI Global: http://www.igi-global.com/

Introduction
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.

Objective of the Book
The objective of this book project is to present current scientific
knowledge about vision from fields such as computer science,
engineering, psychology, neuroscience, and biology to a similarly
diverse audience interested in developing and applying biologically
inspired technical vision systems. This interdisciplinary compilation
of ideas is intended to inspire new approaches and initiate
cross-disciplinary research partnerships that will lead to novel
approaches and applications in machine vision as well as the study of
biological vision.

Target Audience
This book will primarily address both academic and industrial
researchers in fields relevant to bio-inspired machine vision, such as
computer science, engineering, psychology, neuroscience, and biology.
It would also be a valuable resource for graduate students who intend
to start a research career.

Recommended topics include, but are not limited to, the following:
- 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
- Studies of visual attention in humans or animals that may inform the
implementation of attentional mechanisms in technical vision systems
- 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
- Applications of bio-inspired vision systems to, for example, image
processing, field sensing, robotics and hardware design.

Submission Procedure
Researchers and practitioners are invited to submit on or before
February 10, 2011, a 2-3 page chapter proposal clearly explaining the
mission and concerns of his or her proposed chapter. Authors of
accepted proposals will be notified by February 15, 2011 about the
status of their proposals and sent chapter guidelines. Full chapters
are expected to be submitted by April 1, 2011. All submitted chapters
will be reviewed on a double-blind review basis. Contributors may also
be requested to serve as reviewers for this project.

Publisher
This book is scheduled to be published in 2012 by IGI Global (formerly
Idea Group Inc.), publisher of the “Information Science Reference”
(formerly Idea Group Reference), “Medical Information Science
Reference,” “Business Science Reference,” and “Engineering Science
Reference” imprints. For additional information regarding the
publisher, please visit www.igi-global.com.

Important Dates
February 10, 2011:      Proposal Submission Deadline
February 15, 2011:      Notification of Acceptance
April 1, 2011:          Full Chapter Submission
May 18, 2011:           Review Results Returned
June 18, 2011:          Final Chapter Submission
July 15, 2011:          Final Deadline

Editorial Advisory Board Members:

Ali Borji, University of Southern California, Los Angeles, CA
Neil Bruce, French National Institute for Research in Computer Science
and Control
Sharat Chikkerur, Google, Inc., Pittsburgh, PA
Michael Dorr, Schepens Eye Research Institute, Boston, MA
Kai Essig, Bielefeld University, Bielefeld, Germany
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
Laurent Itti, University of Southern California, Los Angeles, CA
Gang Luo, Schepens Eye Research Institute, Boston, MA
John Tsotsos, York University, Toronto, Canada

Inquiries and submissions can be forwarded electronically (Word
document) or by mail to:

Dr. Marc Pomplun
Department of Computer Science
University of Massachusetts Boston
100 Morrissey Blvd., Boston, MA 02125-3393, USA
Tel.: +1 617 287 6443 • Fax: +1 617 287 6433
E-mail: [log in to unmask]

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