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Proceedings Paper

More improved robust orthogonal iterative algorithm for pose estimation in AR
Author(s): Jin-Tao Ma; Ya Zhou; Wei Liu; Qun Hao
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Paper Abstract

Estimation of camera pose is an integral part and classical problem of augmented reality (AR) system and computer vision. Accurate pose estimation is crucial in determining the rigid transformation relating 2D images to known 3D geometry. Therefore, the algorithm should be not only fast and accuracy, but also robust in AR system. Orthogonal iterative (OI) algorithm is a good method, but it requires a proper initialization and cannot deal with problems of pose ambiguity. A new method based on OI we presented before, provides a good initialization and solves a problem of pose ambiguity introduced by coplanar markers. However, two more potential problems usually make the algorithm calculate some wrong results, and lead to the algorithm unsteady and not robust. In this paper, we develop the method by resolving pose ambiguities, which originate from potential problems in algorithm. Two more constraints are employed in our method. One is camera must be located in front of the marker, while the other is camera must be oriented to the marker. It's proved that the improved method is steady in experiments, and can calculate the pose of camera fast and correctly. Moreover, since the method can deal with pose ambiguity, it is rather robust in AR system.

Paper Details

Date Published: 5 March 2008
PDF: 11 pages
Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662326 (5 March 2008); doi: 10.1117/12.791589
Show Author Affiliations
Jin-Tao Ma, Beijing Institute of Technology (China)
Ya Zhou, Beijing Institute of Technology (China)
Wei Liu, Beijing Institute of Technology (China)
Qun Hao, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 6623:
International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing
Liwei Zhou, Editor(s)

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