Reliable Camera Pose Estimation from a Single Frame with Applications for Virtual Object Insertion


The KIPS Transactions:PartB , Vol. 13, No. 5, pp. 499-506, Oct. 2006
10.3745/KIPSTB.2006.13.5.499,   PDF Download:

Abstract

This paper describes a fast and stable camera pose estimation method for real-time augmented reality systems. From the feature tracking results of a marker on a single frame, we estimate the camera rotation matrix and the translation vector. For the camera pose estimation, we use the shape factorization method based on the scaled orthography projection model. In the scaled orthographic factorization method, all feature points of an object are assumed roughly at the same distance from the camera, which means the selected reference point and the object shape affect the accuracy of the estimation. This paper proposes a flexible and stable selection method for the reference point. Based on the proposed method, we implemented a video augmentation system that inserts virtual 3D objects into the input video frames. Experimental results showed that the proposed camera pose estimation method is fast and robust relative to the previous methods and it is applicable to various augmented reality applications.


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Cite this article
[IEEE Style]
J. S. Park and B. J. Lee, "Reliable Camera Pose Estimation from a Single Frame with Applications for Virtual Object Insertion," The KIPS Transactions:PartB , vol. 13, no. 5, pp. 499-506, 2006. DOI: 10.3745/KIPSTB.2006.13.5.499.

[ACM Style]
Jong Seung Park and Bum Jong Lee. 2006. Reliable Camera Pose Estimation from a Single Frame with Applications for Virtual Object Insertion. The KIPS Transactions:PartB , 13, 5, (2006), 499-506. DOI: 10.3745/KIPSTB.2006.13.5.499.