EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING SPECIAL ISSUE ON Fast and Robust Methods for Multiple-View Vision CALL FOR PAPERS --------------- Image and video processing has always been a hot research topic, and has many practical applications in areas such as television/movie production, augmented reality, medical visualization, and communication. Very often, multiple cameras are employed to capture images and videos of the scene at distinct viewpoints. In order to efficiently and effectively process such a large volume of images and videos, novel multiple-view image and video processing techniques should be developed. The classical problem of multiple-view vision has been studied by a lot of researchers over the past few decades, and numerous solutions have been proposed to tackle the problem under various assumptions and constraints. Early methods developed in the 1980s and 1990s have laid down the foundations and theories for resolving the multiple-view vision problem. Nonetheless, many of these methods lack robustness and work well only under a well-controlled scene (e.g., homogeneous lighting, wide-baseline viewpoints, texture-rich surface). Recently, a number of researchers revisit the multiple-view vision problem. Based on the well-developed theories on multiple-view geometry, they adopt robust implementations like statistical methods to produce solutions that can work well under general scene settings. Despite their robustness, these methods are often extremely computationally expensive and require days or even weeks to run and produce results. Therefore, efficient algorithms and implementations will be required to make those methods more practical. Techniques that are developed in real-time image/video processing can be redesigned and adapted for this interesting scenario. This special issue targets at striking a balance between the efficiency and robustness of methods for multiple-view vision. This helps to bring multiple-view methods from laboratories to general home users. Topics of interest include, but are not limited to: *Fast and robust feature detection and description *Fast and robust feature matching and tracking *Fast and robust camera calibration *Efficient and precise image segmentation and registration *Real-time 3D reconstruction/modeling *Real-time texture and motion recovery *Real-time robot navigation of dynamic scenes *Multiview recognition algorithms *Multiview vision algorithms for medical applications *Stereo and multiview vision for 3D display and projection techniques *Multiview image and geometry processing for 3D cinematography *Compression and transmission of multiview video streams *3D video synchronization and optical modeling *Video-based rendering in dynamic scenes *Distributed and embedded algorithms for real-time geometry and video processing Before submission, authors should carefully read over the journal's Author Guidelines, which are located at http://www.hindawi.com/journals/ivp/guidelines.html. Prospective authors should submit an electronic copy of their complete manuscripts through the journal Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable: Manuscript Due: August 1, 2009 First Round of Reviews: November 1, 2009 Publication Date: February 1, 2010 Lead Guest Editor Ling Shao, Philips Research Laboratories, 5656 AE Eindhoven, The Netherlands Guest Editors Amy Hui Zhang, United International College, Zhuhai, 519085 Guangdong, China Kenneth K. Y. Wong, Department of Computer Science, The University of Hong Kong, Hong Kong Jiebo Luo, Kodak Research Laboratories, Rochester, NY 14650, USA