Correspondence and registration comprise a substantial and complex research area within the computer vision field. These disciplines find application in many diverse fields including object recognition, medical imaging, mining, reverse CAD engineering, industrial model inspection, terrain mapping, stereo vision, remote sensing, satellite and robotic navigation, pattern recognition and many other applications.

The term correspondence is used to describe the process of using surface features to determine correspondences between images. Registration however, is the process of developing a spatial mapping between images acquired from a different time, from different sensors, or from different viewpoints. This special issue will address both the correspondence and registration problems.

Correspondence is an important stage found in three-dimensional modelling procedures, particularly in industrial applications such as reverse CAD engineering. These modelling systems are generally comprised of four stages: data acquisition, correspondence, registration, integration and reconstruction. Registration however, also has many other important applications, particular in the medical imaging field, where it is used to fuse multimodal data, detect image change, estimate motion and compute image flow. This often requires the use of non-rigid or deformable registration algorithms in order to account for non-linear geometric differences. Consequently, this encompasses a more complex problem than its rigid counterpart.

The aim of this special issue is to bring together contributions from the latest developments in the field of correspondence and registration and their respective applications. Prospective papers should be unpublished and present solid research work offering innovative contributions either from a theoretical or an applications point of view.

Papers are invited from, but not limited to, the following topics:
1. Correspondence techniques
2. Three dimensional modelling
3. Curve and surface representations
4. Object recognition
5. Rigid and non-rigid image registration
6. Registration similarity measures
7. Three dimensional acquisition systems
8. Medical, industrial, and remote sensing applications

Authors should follow the IJPRAI manuscript format described at the journal site http://www.worldscinet.com/ijprai/ijprai.shtml. All submitted papers will be reviewed according to the guidelines and standards of the International Journal of Pattern Recognition and Artificial Intelligence. Prospective authors should submit their manuscripts to the guest editor according to the following timetable.

Manuscript Due: 1st October 2002
Acceptance Notification: 2nd January 2003
Final Manuscript Due: 3rd April 2003
Publication Date: Second quarter 2003

Please contact the Guest Editor: m.bennamoun@qut.edu.au