-------------------------------------------------------------------
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