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Guest Editors:
Aim and Scope:
Machine vision beyond visible spectrum-a diverse and vibrant research field involving advances in both science and technology-has experienced a significant development in the recent years, as driven by two major factors. The first one is the ever increasing demand from potential users of this technology including both military and civilian entities as well as needs arising from the growing field of homeland security, and the other is improving computer resources and continuing improvement in sensors and sensor technologies have given great impetus to this field of research. The scope of machine vision beyond visible spectrum encompasses many disciplines, including visible, infrared, far infrared, millimeter wave, microwave, radar, synthetic aperture radar, and electro-optical sensors as well as the very dynamic topics of image processing, computer vision and pattern recognition. It is a fertile area for growth in both research analysis and experimentation, and includes both civilian and military applications.
The purpose of this special issue of Computer Vision and Image Understanding is to highlight the most recent theoretical, algorithmic and technological advances in the field of machine vision beyond visible spectrum that could foster further research, development and practical applications. Over the past few years we have been organizing a very successful IEEE workshop series on Object Tracking and Classification Beyond Visible Spectrum (OTCBVS 2004-2011) in conjunction of IEEE Computer Vision and Pattern Recognition (CVPR). This workshop series published over 100 original contributions as short papers, journal articles in IJCV and CVIU and in Springer books. It has played an important catalytic role to disseminate and promote new research ideas, algorithms and systems for real-world applications using beyond visible spectrum imagery.
Open CFP, Topics and Submission Guidelines:
This is an open call-for-papers. Submissions are highly encouraged from outside the IEEE CVPR OTCBVS workshops. Very few participants of the last two meetings will be invited to submit a full paper of their contribution. However, this invitation is not a guarantee that the paper will be finally included in the special issue. CVIU is a very high-ranking computer vision journal and the Editors-in-Chief of CVIU has clearly indicated that we have to adopt a rigorous external reviewing policy to assure the quality of this special issue. If a manuscript is based on a prior conference or workshop submission, the CVIU submission must be at least 30% longer than the original material. When submitting such a manuscript, the authors must also upload the prior publication as the Supplementary Material to the CVIU web site.
All submitted papers will receive equal amount of attention during the reviewing process. This special issue of CVIU solicits original contributions in the following areas, but other topics dealing with non-visible ranges and sensors are welcome: target detection, tracking and classification, feature extraction and matching, face recognition in IR & thermal images; smart systems and sensors; combining visible and non-visible signals; enhanced target detection, tracking, recognition performance using sensor fusion; medical, military and automotive applications and augmented vision perception in infrared. Only original, high-quality papers, in-line with the CVIU standard guidelines, will be considered for publication in this special issue. Prospective authors should submit electronically their contributions according to the CVIU online instructions.
Submission deadline, publication date:
- Full Manuscript submission: July 15, 2012 (Deadline extended)
- Notification to authors: TBA
- Anticipated publication: TBA
Download Electronic Versions of CFP:
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