A Comparison of Viewing Geometries for Augmented Reality

  • Dana Cobzas
  • Martin Jagersand
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


Recently modern non-Euclidean structure and motion estimation methods have been incorporated into augmented reality scene tracking and virtual object registration. We present a study of how the choice of projective, affine or Euclidean scene viewing geometry and similarity, affine or homography based object registration affects how accurately a virtual object can be overlaid in scene video from varying viewpoints. We found that projective and affine methods gave accurate overlay to a few pixels, while Euclidean geometry obtained by auto calibrating the camera was not as accurate and gave about 7 pixel overlay error.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Dana Cobzas
    • 1
  • Martin Jagersand
    • 1
  1. 1.Computing ScienceUniversity of AlbertaCanada

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