Journal of Real-Time Image Processing

, Volume 2, Issue 2–3, pp 67–68 | Cite as

Editorial for the special issue on markerless real-time tracking for augmented reality image synthesis

Editorial

Abstract

Augmented reality is a growing field, with many diverse applications ranging from TV and film production, to industrial maintenance, medicine, education, entertainment and games. The central idea is to add virtual objects into a real scene, either by displaying them in a see-through head-mounted display, or by superimposing them on an image of the scene captured by a camera. Depending on the application, the added objects might be virtual characters in a TV or film production, instructions for repairing a car engine, or a reconstruction of an archaeological site. For the effect to be believable, the virtual objects must appear rigidly fixed to the real world, which requires the accurate measurement in real-time of the position of the camera or the user’s head. Present technology cannot achieve this without resorting to systems that require a significant infrastructure in the operating environment, severely restricting the range of possible applications.

References

  1. 1.
    Chandaria, J., Stricker, D., Thomas, G.: The MATRIS project: real-time markerless camera tracking for AR and broadcast applications. J. Real-Time Image Process. (in this issue)Google Scholar
  2. 2.
    Bartczak, B., Koeser, K., Woelk, F., Koch, R.: Extraction of 3D freeform surfaces as visual landmarks for real-time tracking. J. Real-Time Image Process. (in this issue)Google Scholar
  3. 3.
    Felsberg, M., Hedborg, J.: Real-time view-based pose recognition and interpolation for tracking initialization. J. Real-Time Image Process. (in this issue)Google Scholar
  4. 4.
    Thomas, G.: Real-time camera tracking using sports pitch markings. J. Real-Time Image Process. (in this issue)Google Scholar
  5. 5.
    Koeser, K., Bartczak, B., Koch, R.: Robust GPU-assisted camera tracking using free-form surface models. J. Real-Time Image Process. (in this issue)Google Scholar
  6. 6.
    Hol, J., Schön, T.B., Luinge, H., Slycke, P., Gustafsson, F.: Robust real-time tracking by fusing measurements from inertial and vision sensors. J. Real-Time Image Process. (in this issue)Google Scholar
  7. 7.
    Bleser, G., Becker, M., Stricker, D.: Real-time vision-based tracking and reconstruction. J. Real-Time Image Process. (in this issue)Google Scholar
  8. 8.
    Lowe D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 60(2), 91–110 (2004)Google Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Computer Vision LaboratoryLinköping UniversityLinköpingSweden
  2. 2.Institute of Computer ScienceChristian-Albrechts-Universität KielKielGermany

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