In situ image-based modeling

  • Authors:
  • Anton van den Hengel;Rhys Hill;Ben Ward;Anthony Dick

  • Affiliations:
  • School of Computer Science, University of Adelaide, Australia;School of Computer Science, University of Adelaide, Australia;School of Computer Science, University of Adelaide, Australia;School of Computer Science, University of Adelaide, Australia

  • Venue:
  • ISMAR '09 Proceedings of the 2009 8th IEEE International Symposium on Mixed and Augmented Reality
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present an interactive image-based modelling method for generating 3D models within an augmented reality system. Applying real time camera tracking, and high-level automated image analysis, enables more powerful modelling interactions than have previously been possible. The result is an immersive modelling process which generates accurate three dimensional models of real objects efficiently and effectively. In demonstrating the modelling process on a range of indoor and outdoor scenes, we show the flexibility it offers in enabling augmented reality applications in previously unseen environments.