• DocumentCode
    2362707
  • Title

    A multi-camera 6-DOF pose tracker

  • Author

    Tariq, Sarah ; Dellaert, Frank

  • Author_Institution
    Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2004
  • fDate
    2-5 Nov. 2004
  • Firstpage
    296
  • Lastpage
    297
  • Abstract
    Most of the work in head-pose tracking has concentrated on single-camera systems with a relatively small field of view which have limited accuracy because features are only observed in a single viewing direction. We present a multicamera pose tracker that handles an arbitrary configuration of cameras rigidly fixed to the observer´s head. By using multiple cameras, we increase the robustness and accuracy by which a 6-DOF pose is tracked. However, in a multicamera rig setting, earlier methods for determining the unknown pose from three world-to-camera correspondences are no longer applicable. We present a RANSAC (M. Fischler and R. Bolles, 1981) based method that handles multicamera rigs by using a fast nonlinear minimization step in each RANSAC round.
  • Keywords
    cameras; computer vision; minimisation; motion estimation; tracking; RANSAC; fast nonlinear minimization; head-pose tracking; multicamera 6-DOF pose tracker; multicamera rigs; world-to-camera correspondences; Algorithms; Calibration; Cameras; Educational institutions; Equations; Gaussian noise; Machinery; Minimization methods; Noise measurement; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mixed and Augmented Reality, 2004. ISMAR 2004. Third IEEE and ACM International Symposium on
  • Print_ISBN
    0-7695-2191-6
  • Type

    conf

  • DOI
    10.1109/ISMAR.2004.6
  • Filename
    1383084