Session Chairs

Dr. Moulay Akhloufi, Computer Science, University of Moncton, Canada
Dr. Mustapha Kardouchi, Computer Science, University of Moncton, Canada
Dr. Lucile Rossi, UMR CNRS 6134 SPE, University of Corsica, France

Description

Recent years have known an increase of interest in infrared imaging and multimodal vision; both from the research community and the industry. This popularity has been mainly driven by the decrease in camera prices and an increase in their performance. Modalities that were once mostly limited to the military, are now expanding into commercial and industrial applications. This expansion comes with a demand for new advanced signal and image processing algorithms to solve problems in a variety of new emerging areas of application using multimodal vision in and beyond the visible spectrum. This special session aims to bring together researchers in these areas to share their latest results.
Potential topics related to multimodal vision include, but are not limited to:

• Multimodal vision: Infrared, terahertz, 3D vision, millimeter wave imaging, etc.
• Image and signal filtering and enhancement
• Image segmentation, analysis, and classification
• Feature extraction and pattern recognition
• Deep learning techniques
• Multimodal fusion, registration, and analysis
• Multispectral and hyperspectral processing
• Benchmarking and algorithm optimization
• Applications: Biometrics; Biomedical imaging; Video-surveillance and security; Natural and environmental research; Remote sensing; Civil engineering, archeology, and art conservation; etc.

Paper Submission

Please submit your full paper choosing the right track on the Conference Management Toolkit (Microsoft’s CMT) site.  See Paper Submission page for more details. All papers must be written in English and should describe original work. The length of the paper is limited to a maximum of 6 pages (in the standard IEEE conference double column format).

Important dates