Increasing Camera Pose Estimation Accuracy Using Multiple Markers

  • Jong-Hyun Yoon
  • Jong-Seung Park
  • Chungkyue Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4282)


If the geometry of a marker is known and camera parameters are available, it is possible to recover a camera pose. The transformation between a camera and a marker is defined relative to the local coordinate system of the marker. This paper proposes a real-time camera tracking method using multiple markers while the camera is allowed to move freely in a 3D space. We utilize multiple markers to improve the accuracy of the pose estimation. We also present a coordinate registration algorithm to obtain a global optimal camera pose from local transformations of multiple markers. For the registration, a reference marker is automatically chosen among multiple markers and the global camera pose is computed using all local transforms weighted by marker detection confidence rates. Experimental results show that the proposed method provides more accurate camera poses than those from other methods.


Augmented Reality Local Coordinate System Corner Point Camera Motion Reference Marker 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jong-Hyun Yoon
    • 1
  • Jong-Seung Park
    • 1
  • Chungkyue Kim
    • 1
  1. 1.Department of Computer Science & EngineeringUniversity of IncheonIncheonRepublic of Korea

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