To submit manuscripts for consideration in a Special Section, please prepare the manuscript according to the journal guidelines and use the Online Submission System.
FORTHCOMING SPECIAL SECTIONS:
Stereoscopic Displays & Applications
Quality Control by Artificial Vision
January–March 2012
Stereoscopic Displays & Applications
Guest Editors:
Neil Dodgson
University of Cambridge
Computer Laboratory
15 JJ Thomson Avenue
Cambridge CB3 0FD, United Kingdom
Tel: +44 1223 334417
Fax: +44 1223 334678
E-mail: Neil.Dodgson@cl.cam.ac.uk
Nick Holliman
Durham University
School of Engineering and Computing Sciences
Science Laboratories, South Road
Durham DH1 3LE, United Kingdom
Tel: +44 191 33 44287
Fax: +44 191 33 41701
E-mail: n.s.holliman@durham.ac.uk
This special section will present papers on recent advances in 3-D displays. Topics include 3-D display hardware, computer software, system design, algorithms, image acquisition, applications, and human factors. Papers are related to the following topics:
• Advances in true 3-D display technologies, including stereoscopic displays, autostereoscopic displays, super- and high-density multiview displays, volumetric displays, mobile 3-D displays, stereoscopic projection, and electro-holography
• Stereoscopic systems design for telerobotics, telesurgery, 3-D TV, 3-D web, virtual reality, augmented reality, mobile devices, game systems, consumer and professional broadcast, content delivery, interaction technologies, and editing and production systems
• Human factors & user-interface issues, including task performance comparisons between stereoscopic and nonstereoscopic displays, evaluation methodologies (e.g., depth-acuity measurement), task-performance testing, perceptual and cognitive guidelines, 3-D remote manipulation, and technical reviews of experience with particular applications
• Stereoscopic imaging, including stereoscopic and multiview computer graphics, image processing and compression of stereoscopic imagery, stereoscopic image synthesis, 2-D to 3-D conversion, depth map generation, and multiviewpoint generation
• 3-D image acquisition and generation techniques, including single- and multilens camera systems, stereoscopic computer graphics, computational photography, and other stereoscopic image generation techniques.
This special section is linked to the annual SPIE/IS&T Stereoscopic Displays and Applications conference (www.stereoscopic.org), but prior presentation at that conference is not a prerequisite for submission to the special section.
Closed for submissions.
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April-June 2012
Quality Control by Artificial Vision
Guest Editors:
Jean-Charles Pinoli
Ecole Nationale Supérieure des Mines
LPMG Laboratory, UMR CNRS 5148 158,
Cours Fauriel 42023 Saint-Etienne Cedex 2, France
Tel : +33 (0)4 77 42 66 74
Fax : +33 (0)4 77 42 02 97
E-mail : pinoli@emse.fr
Karen Panetta
Tufts University
Department of Electrical and Computer Engineering
161 College Avenue
Medford, Massachusetts 02155
Tel: +617 627-3217
Fax: +617 627-3220
E-mail : karen@ece.tufts.edu
Seiji Hata
Kagawa University
Faculty of Engineering
1-1 Saiwai-cho, Takamatsu
760-8526, Japan
Tel: +81- (0) 87-864-2028
Fax: +81- (0) 87-864-2031
E-mail : hata@eng.kagawa-u.ac.jp
Call for Papers: Over the past two decades, machine (artificial) vision systems have effectively automated many manual tasks whose goals may be achieved by the analysis and interpretation of visual data. As a result, such tasks are performed more rapidly and with much higher degrees of accuracy, precision, and repeatability. The rapid proliferation of machine vision systems is a direct result of the tremendous advances that have been made in the research and development of (1) smart image acquisition subsystems, (2) powerful mathematical and computational imaging approaches, (3) sophisticated image processing algorithms, (4) adaptive pattern analysis and interpretation techniques, and (5) fast, efficient, and cost-effective data processing software and hardware. As the advancements in each of these areas continue, the application domain of machine vision systems grows, giving rise to new opportunities and challenges. This special section of the Journal of Electronic Imaging provides a forum for academic and industrial researchers to present and discuss innovative concepts, methods, techniques, and systems for advancing the state of the art in any or all of the aforementioned areas. High-quality papers are invited that describe novel theoretical, experimental, and applied work in imaging modalities, image processing and pattern recognition algorithms, and data processing software and hardware that will enable technologies for machine vision systems of the future. Original research articles as well as review articles are welcome. The guest editors seek to gather high-quality, original, state-of-the-art, and unpublished research contributions. Original papers are solicited from, but not limited to, the following topical areas:
• image acquisition, vision sensors, and systems
• optical, electron, x-ray, ultrasound, and other imaging modalities
• nondestructive testing and metrology
• image processing and segmentation
• image interpretation and pattern recognition
• image analysis and geometrical description
• process automation, characterization, and control.
There are numerous industries that benefit from machine vision systems today. Papers are encouraged from a broad range of industrial settings from agriculture, energy, metallurgy, metals, semiconductors, and textiles to biomedical and pharmaceuticals. It is anticipated that a sharing of current methods and technologies related to quality control across broad industry sectors will facilitate interactions between these various groups who do not regularly communicate. Authors must follow the guidelines of the Journal of Electronic Imaging (http://spie.org/jei) to prepare and submit their manuscripts. For more information, please contact one of the guest editors.
Closed for submissions.
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