• DocumentCode
    376388
  • Title

    Extendible tracking by line auto-calibration

  • Author

    Jiang, Bolan ; Neumann, Ulrich

  • Author_Institution
    Integrated Media Syst. Center, Univ. of Southern California, CA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    97
  • Lastpage
    103
  • Abstract
    One of the key requirements for an augmented reality system is a tracking system that determines the user´s viewpoint accurately. Many vision-based tracking systems exhibit limited tracking range due to their dependence on pre-calibrated features. Previous extendible-tracking systems only make use of point features. This paper describes an extendible tracking method that integrates pre-calibrated landmarks and natural line features for camera tracking. Extendible and robust tracking is achieved by dynamically calibrating prior uncalibrated 3D structure of line features. The experimental results indicate the effectiveness of this approach for extending the tracking range and reducing dependence on the prepared environment. (Plus color plates)
  • Keywords
    Kalman filters; augmented reality; calibration; cameras; digital simulation; image sequences; optical tracking; augmented reality system; camera tracking; extendible tracking; line auto-calibration; natural line features; point features; pre-calibrated features; pre-calibrated landmarks; prior uncalibrated 3D structure; robust tracking; tracking range; tracking system; user viewpoint; vision-based tracking systems; Augmented reality; Cameras; Computer graphics; Electrical capacitance tomography; Identity-based encryption; Laboratories; Large-scale systems; Machine vision; Network address translation; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Augmented Reality, 2001. Proceedings. IEEE and ACM International Symposium on
  • Conference_Location
    New York, NY
  • Print_ISBN
    0-7695-1375-1
  • Type

    conf

  • DOI
    10.1109/ISAR.2001.970519
  • Filename
    970519