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Abstract: 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... (Update)
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BibTeX entry: (Update)
@misc{ cobzas-comparison,
author = "Dana Cobzas and Martin Jagersand",
title = "A Comparison of Viewing Geometries for Augmented Reality",
url = "citeseer.ist.psu.edu/cobzas03comparison.html" }
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1 Extended version of polyhedral object detection and pose est.. (context) - Shahrokni, Vachetti et al. - 2002
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