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Vision-Based Camera Motion Recovery for Augmented Reality Manolis I. A. Lourakis and Antonis A. Argyros
 

Summary: Vision-Based Camera Motion Recovery for Augmented Reality
Manolis I. A. Lourakis and Antonis A. Argyros
Institute of Computer Science
Foundation for Research and Technology - Hellas (FORTH)
Vassilika Vouton, P.O. Box 1385, GR 711 10
Heraklion, Crete, GREECE
lourakis, argyrosĄ @ics.forth.gr http://www.ics.forth.gr/cvrl/
Abstract
We address the problem of tracking the 3D position and
orientation of a camera, using the images it acquires while
moving freely in unmodeled, arbitrary environments. This
task has a broad spectrum of useful applications in domains
such as augmented reality and video post production. Most
of the existing methods for vision-based camera tracking
are designed to operate in a batch, off-line mode, assum-
ing that the whole video sequence to be tracked is avail-
able before tracking commences. Typically, such methods
operate non-causally, processing video frames backwards
and forwards in time as they see fit. Furthermore, they re-
sort to optimization in very high dimensional spaces, a pro-

  

Source: Argyros, Antonis - Foundation of Research and Technology, Hellas & Department of Computer Science, University of Crete
Trahanias, Panos - Institute of Computer Science, Foundation of Research and Technology, Hellas

 

Collections: Computer Technologies and Information Sciences