Automatic Reconstruction of Wide-Area Fiducial Marker Models

  • Authors:
  • Manfred Klopschitz;Dieter Schmalstieg

  • Affiliations:
  • Graz University of Technology. e-mail: klopschitz@icg.tugraz.at;Graz University of Technology

  • Venue:
  • ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present an approach towards automatic reconstruction of large assemblies of fiducial markers scattered throughout a wide indoor area, using a computer vision based reconstruction approach. The data is acquired from a video stream captured with a monoscopic camera. The system is capable of creating markers models that are significantly larger in physical area and number of markers than with previous approaches.