------------------------------------------------------------------- CVIU Computer Vision and Image Understanding Special Issue on Registration and Fusion of Range Images Call for Papers: http://vespasian.cms.shu.ac.uk/cviu Guest Editors: Marcos A Rodrigues, (Sheffield Hallam University, UK) Yonghuai Liu, (Sheffield Hallam University, UK) Robert Fisher, (University of Edinburgh, UK) Aims Range image acquisition systems are becoming more affordable and accurate due to recent developments in laser and electronics technologies. This has to a large extent provided great impetus to applications of laser range finding systems to a number of tasks such as reverse engineering, computer aided design, virtual reality, small and large scale model building, motion analysis, and object recognition, among many others. Given that depth information from range images greatly simplifies motion estimation, structural analysis, and object analysis, the use of range image analysis in real applications has the potential to supersede traditional projective and model based image analyses. The aim of this special issue is to publish high quality papers representative of the state-of-the-art technologies used to acquire and process range image data. A central problem in working with 3D data sets is the fusion of single 2.5D range images into full 3D data sets, describing all surfaces of an object or environment. This special issue is dedicated to the registration and fusion of range data sets: description and comparison of working registration algorithms, methods of achieving complete data sets that can be registered (e.g. view planning, jigging and markers), exploration of problems and pitfalls, and novel applications of registration algorithms. Scope Range image processing techniques are mainly based on invariant features, computational geometry, differential geometry, mutual information, non-linear optimization, and linear and matrix algebra. A number of possible topic areas from both theoretical and practical aspects include (but are not limited to): - Novel image registration/fusion algorithms - Extension of existing algorithms - Review and comparative study of existing algorithms - Theoretic analysis of algorithms - Applications of image registration/fusion algorithms Important Dates: Submission Deadline: August 31, 2001 Notification: December 31, 2001 Revised Manuscript Submission: February 28, 2002 Revised Manuscript Notification: May 31, 2002 Publication: September 2002 CVIU Computer Vision and Image Understanding is the oldest and a most prestigious journal devoted to the dissemination of research in areas relevant to computer vision. More details on the Journal can be found at Academic Press/CVIU Homepage: http://www.academicpress.com/cviu CVIU Chief Editor's Homepage: http://RVL4.ecn.purdue.edu/~kak/cviu.html Submission Guidelines Submission of manuscripts will be handled electronically only. Manuscripts must be written in English, formatted and submitted according to instructions in http://vespasian.cms.shu.ac.uk/cviu All papers will be reviewed according to standard CVIU refereeing procedures. Guest Editors' Address Dr Marcos A Rodrigues and Dr Yonghuai Liu Computing Research Centre School of Computing Sheffield Hallam University Sheffield S1 1WB, UK Phone: +44 (0)114 225 3176 Fax: +44 (0)114 225 3161 E-mail: M.Rodrigues@shu.ac.uk or Y.Liu@shu.ac.uk Web: http://www.shu.ac.uk/scis/artificial_intelligence Dr. Robert B. Fisher Division of Informatics University of Edinburgh 5 Forrest Hill, Edinburgh EH1 2QL, United Kingdom Phone: +44-(131)-650-3098 (direct line), +44-(131)-650-3090 (secretary) Fax: +44-(131)-650-6899 E-mail: rbf@dai.ed.ac.uk Web: http://www.dai.ed.ac.uk/daidb/people/staff/Robert_Fisher.html