Wednesday, 30 October 2013

Call for papers: Special session for WCCI 2014 "Biologically Inspired Computational Vision"


Constructive understanding of computational principles of visual information processing, perception and cognition is one of the most fundamental challenges of contemporary science. Deeper insight into biological vision helps to advance intelligent systems research to achieve robust performance similar to biological systems. Biological inspiration indicates that sensory processing, perception, and action are intimately linked at various levels in animal vision. Implementing such integrated principles in artificial systems may help us achieve better, faster and more efficient intelligent systems.


This session provides an integrated platform to present original ideas, theory, design, and applications of computational vision. Topics of interest include, but are not limited to the following:
  • Theoretical approaches and modeling in computational vision
  • Neuronal mechanisms of visual processing
  • Low level vision and its relationship to biological machinery
  • Artificial learning systems for image and information processing and evidential reasoning for recognition
  • Intelligent search in communications networks
  • Modeling issues in ATM networks, agent-oriented computing architectures
  • Perception of shape, shadows, poses, color and illumination in object recognition
  • Tracking for inferring shapes and 3D motions
  • Active visual perception, attention and robot vision
  • Functional Magnetic Resonance Imaging (fMRI) studies of visual segmentation and perception
  • Application of computational vision in areas of
  • Automated target identification and acquisition systems in defense and industry
  • Biomedical imaging
  • 3D photography
  • Face recognition
  • Learning to segment camouflaged objects
  • Motor actions and robotics
  • Image databases and indexing
  • Hardware implementation of computational vision
  • Any other topics related to biological approaches in computer vision


The deadline for submissions to this special session is 20 December 2013.

Information for Authors

1) Information on the format and templates for papers can be found here:
2) Papers should be submitted via the IJCNN 2014 paper submission site:
3) Select the Special Session name in the Main Research topic dropdown list
4) Fill out the input fields, upload the PDF file of your paper and finalize your submission by the deadline
of December 20, 2013.


Khan M. Iftekharuddin, PhD
Professor, Department of Electrical and Computer Engineering
Director, Vision Lab
Old Dominion University

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