Introduction:
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
Organizer:
Khan M. Iftekharuddin, Old Dominion University, USAProfessor and Chair, Department of Electrical and Computer Engineering
http://www.eng.odu.edu/visionlab/
Program Committee:
- Vijayan Asari, University of Dayton, USA
- Azzedine Beghdadi, University Paris, 13, France
- Salim Bouzerdoum, University of Wollongong, Australia
- Ke Chen, University of Manchester, UK
- Yoonsuck Choe, Texas A&M University, USA
- Robert Kozma, University of Memphis, USA
- Minho Lee, Kyungpook National University, Korea
- Zicheng Liu, Microsoft Research, USA
- Bertram Shi, Hong Kong University of Science and Technology, Hong Kong
- Rufin VanRullen, CNRS, Toulouse, France
Submission instructions:
- Go to http://ieee-cis.org/conferences/ijcnn2015/upload.php to submit a paper to IJCNN 2015.
- Be sure to set the "Main research topic" to this special session. (The special sessions are found at the bottom of the list.)
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