Virtual Representations and Modeling of Large-scale environments ( VRML) 


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Recent developments in computer vision have improved the performance
of structure from motion and multi-view stereo techniques towards the 
reconstruction of large scale environments.  At the same time progress
in computer graphics and network technology allow for effective
visualization and delivery of such visual representations. As consumer
applications are being deployed, a wide field of applications is 
opening up for real-world 3D modeling techniques.

Despite the enormous progress there are still many challenges left.
Very large scale structure from motion with millions of images has
open problems of: effectively scaling computations, consistency over 
large areas.  Small artifacts often visually degrade relatively
accurate reconstructions.  How can one deal with windows or other
surfaces with more complicated surface properties, trees and other
occluding objects, which cause often holes in the reconstructions. The 
variability and change occurring in real-world environments poses
additional challenges.  The appearance of a scene varies over the
course of the day and with the seasons, changes in geometry also occur
at different temporal scales, from cars/pedestrians to building 
construction/destruction.  Often, a complete detailed geometric
reconstruction might not be the most appropriate model and image-based
representations can be preferable for some applications.

The workshop invites researchers from computer vision, computer 
graphics, photogrammetry and related areas to present their work
addressing the above problems:

- 3D reconstruction of large-scale environments
- Large-scale/wide-area structure-from-motion
- Close-range photogrammetry 
- 4D reconstructions and temporal inference
- Geometry/appearance/illumination changes of environments
- Visualization of large-scale models
- Image-based navigation of environments
- Multi-sensor platform for large-scale modeling 
- automatic/interactive modeling of urban structures
- wide-baseline matching in urban environments
- innovative applications for large scale models


Important dates:
      Paper submission (extended)      July 22nd, 2007 
      Notification                                 August 22nd, 2007
      Camera Ready                            August 27th, 2007

Organizers:
      Jan-Michael Frahm, UNC Chapel Hill, USA
      Marc Pollefeys, UNC Chapel Hill, USA 
      Frank Dellaert, Gerogia Tech, USA
      Jana Kosecka, George Mason University, USA

More information can be found at:
http://www.cs.unc.edu/~jmf/WorkshopICCV2007.html